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CBRE

Business Intelligence Director

What to ExpectWe’re looking for a dynamic and technically fluent AI Specialist to join Zoom’s growing AI Specialist team. In this role, you’ll champion our AI solutions—especially Custom AI Companion, Conversational Intelligence, and AI Studio—by turning powerful technology into customer impact. You’ll partner closely with field sales to run demos, co-create account-specific strategies, and help enterprise customers unlock the full potential of Zoom’s AI portfolio.This is a quota-based overlay role that blends technical product evangelism with sales enablement and go-to-market execution. You’ll help Zoom differentiate in a crowded market by being the connective tissue between our AI product innovation and customer value realization.About the TeamZoom’s AI Specialist team is built like a startup inside the company—fast-moving, collaborative, and laser-focused on customer outcomes. We partner with Product, Marketing, Sales, Solutions Engineers and Customer Success to bring clarity to what AI can do today (and where it’s going tomorrow).This role is for someone who’s not just AI-fluent, but AI-experienced—comfortable talking to CIOs, demoing live use cases, and guiding our internal teams on how to close with confidence.Responsibilities<ul> <li>Drive Adoption of Custom AI Companion: Partner with field teams to help prospects understand how Zoom’s agentic AI framework powers deeper productivity, especially in IT, CX, and enterprise workflows.</li> <li>Run High-Impact Demos: Deliver technical demos showcasing real-time integrations across third-party tools (e.g., Salesforce, Jira, ServiceNow) and Zoom-native AI features.</li> <li>Create Customer-Ready Content: Develop pitch decks, objection handling guides, and verticalized AI messaging with a strong focus on outcomes.</li> <li>Evangelize AI Strategy: Serve as a subject matter expert for Zoom’s AI capabilities, including our RAG-based search and AI Studio workflows, across internal enablement and customer briefings.</li> <li>Feedback Loop to Product: Meet regularly with the AI Product team to share feedback from the field and shape future feature sets and roadmap priorities.</li> <li>Workshop + Field Engagements: Host workshops and presentations with enterprise IT, CX, and operations leaders to activate interest in Zoom’s AI capabilities.</li> <li>Quota-Tied Influence: Contribute to qualified pipeline and bookings in partnership with AEs through strategic plays and consultative support.</li> </ul>What We’re Looking For<ul> <li>2+ years in GenAI / LLM-based solutions, ideally with experience deploying or selling AI in an enterprise setting.</li> <li>Background in UCaaS, CCaaS, or CX technologies—you’ve worked in or around IT transformation, contact centers, or collaboration stacks.</li> <li>Startup-level adaptability—you like rolling up your sleeves, learning fast, and iterating as we scale.</li> <li>Strong communication and storytelling skills—especially when translating technical features into customer wins.</li> <li>Experience with tools like Salesforce, ZoomInfo, Glean, or enterprise knowledge platforms is a plus.</li> <li>Comfort with APIs, RAG, SLMs/LLMs, and how AI gets wired into actual workflows.</li> </ul>Salary Range or On Target Earnings:Minimum:$128 600,00Maximum:$257 300,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date:05/12/25Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click <a href="https://careers.zoom.us/benefits" target="_blank">Learn</a><a href="http://careers.zoom.us/benefits" target="_blank"> </a>for more information.About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment​At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an <a href="https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&amp;d=1127274756253361" target="_blank">Accommodations Request Form</a> and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.#LI-Remote

Zoom

AI Specialist

<h2>DESCRIPTION</h2> The Customer Engagement Technologies (CET) organization powers Customer Service (CS) by developing elegant Customer and Customer Service Associate (CSA) facing products globally. These products offer effortless self-service and automated solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered through human-centered design. One of these solutions is a new translation system deploying neural machine translation technology (through AWS Translate models) that aims to support high-quality, real-time translations for up to 39 languages. By applying automated translations to text-based customer service channels (e-mail, chat, Message Us, and CS Chatbot), the product’s vision is to remove language as a barrier and enable flexibility in the CS labor force. Ultimately, Amazon will be capable of supporting customers anywhere around the world, irrespective of the language the CSA is speaking. Our team is looking for a talented Machine Learning Data Associate (MLDA)- Specialist Portuguese to drive Portuguese-to-English and English-to-Portuguese machine translation improvements in partnership with the Machine Learning team. Specifically, you will audit cross-language interactions on text-based channels, review and assess the quality of the machine translations in each direction, and inform on the highest priority machine translation improvement opportunities that will enhance the customer experience. You will work with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes, augmenting the customer experience through product testing, and executing the machine learning roadmap for the product. You will be part of a Global Product Management team whose innovations and strategies will influence what we build and how we surface information to solve customers’ issues globally. A successful candidate is a native Portuguese speaker who also speaks English fluently, is extremely detail-oriented, an effective communicator, has demonstrated the ability to earn the trust of stakeholders across a cross-functional team of individuals, is data-driven, and has a strong eye for opportunities. You should be customer-obsessed and not afraid to analyze thousands of interactions. You are willing to experiment, fail fast, learn, and iterate to improve. Furthermore, you understand and account for the implications of your work on front line operations. Key job responsibilities - Native-level translation and localization skills in Portuguese - Proficiency in testing and content reading in Portuguese, with the ability to document outcomes in English for stakeholders - Utilization of Portuguese skills to support internal and external customers and related products - Competence in navigating various internal tools to understand the customer journey - Strong attention to detail and commitment to quality - Adaptability to work in a dynamic environment and willingness to change priorities on short notice - Must be fluent in Portuguese and English A day in the life Key daily activities include but are not limited to: - Localization/Translation - Testing various workstreams - Contact Reading in native language while documenting findings in English - Stakeholder management Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Omni MLDA is a division of Customer Engagement Technologies (CET), partnering with key stakeholders to: - Automate customer service processes - Enhance the end-to-end customer experience <h2>BASIC QUALIFICATIONS</h2> - Fluency in Portuguese and English (verbal and written communication) - 1+ years business experience in localization and translation - Strong attention to details - Exceptional communicational skills - Customer service experience - Experience working in complex and frequently-changing environments - Ability to interpret customer need and being able to frame that as clear requirements <h2>PREFERRED QUALIFICATIONS</h2> - Project planning experience, including project scoping, deadline-setting, backlog maintenance, and reporting - Bachelor's Degree - Practical knowledge of data processing needs and trade-offs - Experience working with machine learning, Artificial intelligence, natural language understanding data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations" target="_blank">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $32,700/year in our lowest geographic market up to $70,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits" target="_blank">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

Bilingual Machine Learning Data Associate - Portuguese (Remote), Customer Engagement Technology

<h2>This is Product at Lattice</h2> The Lattice Product team is on a mission to make work meaningful for companies across the world. Lattice is a unified people platform that includes both a modern HRIS and a comprehensive Talent Management suite that offers performance reviews, engagement surveys, real-time feedback, weekly check-ins, goal setting, and career and compensation planning. This allows companies to centralize employee data and drive development, growth, and engagement from a single system — leading to stronger retention, performance, and business impact. Since launching in 2016, we’ve grown to support over 5,000 customers globally. <h2>What You Will Do</h2> As a Lead Product Manager for our AI initiatives, you will be at the helm of transforming and expanding our AI-powered experiences across the Lattice platform. This is a high-impact role where you will have the autonomy to innovate and drive the strategic vision, ensuring that Lattice's AI capabilities remain at the cutting edge of HR technology. <ul> <li>Strategize closely with senior leadership and cross-functional teams to shape the future of Lattice's AI strategy and roadmap.</li> <li>Spearhead the development of multiple AI-powered features and agentic systems leveraging LLMs and/or ML technologies.</li> <li>Conduct thorough market analysis, user research, and data gathering to identify opportunities where AI can solve customer problems and deliver exceptional value.</li> <li>Define and refine product wireframes, scope, requirements, and detailed specifications for AI features, ensuring they are grounded in both technical feasibility and user needs.</li> <li>Establish and monitor key AI product KPIs and metrics, evaluating performance to guide continuous improvement and ensure AI experiences meet quality, safety, and ethical standards.</li> <li>Drive cross-functional collaboration with design, engineering, AI/ML, user research, product marketing, security, and legal teams to deliver sophisticated AI solutions that align with business goals.</li> <li>Maintain a deep understanding of AI/ML technology trends and competitive landscape, positioning Lattice as a thought leader in AI-powered HR solutions.</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Minimum 7 years of progressive experience in product management, with specific expertise in AI/ML product development, preferably in B2B SaaS environments.</li> <li>A track record of success in leading AI product development from 0-to-1, with demonstrated business impact and customer adoption.</li> <li>Strong leadership skills, with experience mentoring other product managers and guiding cross-functional teams through complex AI initiatives.</li> <li>Deep understanding of AI/ML technologies, including generative AI, LLMs, and how they can be applied to workflow-heavy products.</li> <li>Strategic thinking with the ability to navigate complex tradeoffs across UX, data availability, AI reliability, technical complexity, and business priorities.</li> <li>Excellent communication skills, adept at articulating complex AI concepts to diverse audiences and influencing at all levels of the organization.</li> <li>Robust analytical skills, skilled in using data and metrics for decision-making.</li> <li>Entrepreneurial mindset, thriving in ambiguity and taking ownership in a dynamic environment.</li> </ul> The estimated annual cash salary for this role is $179,000 - $223,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. #LI-Remote <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Lead Product Manager, AI

<h2>DESCRIPTION</h2> The Customer Engagement Technologies (CET) organization powers Customer Service (CS) by developing elegant Customer and Customer Service Associate (CSA) facing products globally. These products offer effortless self-service and automated solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered through human-centered design. One of these solutions is a new translation system deploying neural machine translation technology (through AWS Translate models) that aims to support high-quality, real-time translations for up to 39 languages. By applying automated translations to text-based customer service channels (e-mail, chat, Message Us, and CS Chatbot), the product’s vision is to remove language as a barrier and enable flexibility in the CS labor force. Ultimately, Amazon will be capable of supporting customers anywhere around the world, irrespective of the language the CSA is speaking. Our team is looking for a talented Machine Learning Data Associate (MLDA)- Specialist Italian to drive Italian-to-English and English-to-Italian machine translation improvements in partnership with the Machine Learning team. Specifically, you will audit cross-language interactions on text-based channels, review and assess the quality of the machine translations in each direction, and inform on the highest priority machine translation improvement opportunities that will enhance the customer experience. You will work with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes, augmenting the customer experience through product testing, and executing the machine learning roadmap for the product. You will be part of a Global Product Management team whose innovations and strategies will influence what we build and how we surface information to solve customers’ issues globally. A successful candidate is a native Italian speaker who also speaks English fluently, is extremely detail-oriented, an effective communicator, has demonstrated the ability to earn the trust of stakeholders across a cross-functional team of individuals, is data-driven, and has a strong eye for opportunities. You should be customer-obsessed and not afraid to analyze thousands of interactions. You are willing to experiment, fail fast, learn, and iterate to improve. Furthermore, you understand and account for the implications of your work on front line operations. Key job responsibilities - Native-level translation and localization skills in Italian - Proficiency in testing and content reading in Italian, with the ability to document outcomes in English for stakeholders - Utilization of Italian skills to support internal and external customers and related products - Competence in navigating various internal tools to understand the customer journey - Strong attention to detail and commitment to quality - Adaptability to work in a dynamic environment and willingness to change priorities on short notice - Must be fluent in Italian and English A day in the life Key daily activities include but are not limited to: - Localization/Translation - Testing various workstreams - Contact Reading in native language while documenting findings in English - Stakeholder management Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Omni MLDA is a division of Customer Engagement Technologies (CET), partnering with key stakeholders to: - Automate customer service processes - Enhance the end-to-end customer experience <h2>BASIC QUALIFICATIONS</h2> - Fluency in Italian and English (verbal and written communication) - 1+ years business experience in localization and translation - Strong attention to details - Exceptional communicational skills - Customer service experience - Experience working in complex and frequently-changing environments - Ability to interpret customer need and being able to frame that as clear requirements <h2>PREFERRED QUALIFICATIONS</h2> - Project planning experience, including project scoping, deadline-setting, backlog maintenance, and reporting - Bachelor's Degree - Practical knowledge of data processing needs and trade-offs - Experience working with machine learning, Artificial intelligence, natural language understanding data Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations" target="_blank">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $32,700/year in our lowest geographic market up to $70,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits" target="_blank">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Bilingual Machine Learning Data Associate - Italian (Remote), Customer Engagement Technology

Senior NLP Engineer - (LATAM) Parser is looking for a software engineer focused on developing AI-driven applications, in the field of NLP. The candidate must have a solid background in NLP-related concepts and a proven track record of implementations for application development. The client works in a startup regime, which requires flexibility to jump from one task to another under highly constrained timeframes. This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people. If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you. The Impact You'll Make: <ul> <li>You will be part of a team that is creating an innovative product from scratch.</li> <li>Design and implement Highly performant RAG architectures and infrastructure for AI-driven content analysis of unstructured information extracted from multiple documents of different types.</li> <li>Design and implement efficient approaches to extract the most accurate information from the aforementioned documents.</li> <li>Design and implement automatic test setups for evaluation of changes in the information retrieval processes.</li> <li>Develop performant and scalable REST APIs to ensure seamless integration and data flow.</li> <li>Optimize data-ingestion/retrieval/answer-synthetisation processes and enhance the overall system performance.</li> <li>Improve engineering standards, tooling, and processes to ensure high-quality code and efficient workflows. </li> </ul> Technology Stack: Python / Flask AI /ML / NLP / Data Science AWS Pytest PostgreSQL What You'll Bring To Us: <ul> <li>Technical degree in computer science, engineering, or similar.</li> <li>+5 years of professional experience in technology solution development, with AI/ML/Data Science applications.</li> <li>Technical formation and solid knowledge in ML/AI/NLP or related fields.</li> <li>+4 years with Python (scripting, development of applications), Flask, LlamaIndex, SQLAlchemy, Boto3, OpenAI.</li> <li>+2 years in AWS: particularly ECS, App Runner, Lambda, S3.</li> <li>Azure Document Intelligence or any other OCR-based information extraction platform.</li> <li>Experience in software development and usage of typical tools for code version control (git-like platforms).</li> <li>PostgreSQL and other SQL-type DB, Pinecone and other vectorial-type DB.</li> <li>Excellent written and verbal English communication skills.</li> </ul> Some of the benefits you’ll enjoy working with us: <ul> <li>The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.</li> <li>The opportunity to be part of an amazing, multicultural community of tech experts.</li> <li>A flexible and remote working environment.</li> <li>Offices in multiple locations around the world that give you the opportunity to relocate. if you so wish.</li> <li>Annual training allowance and in-company learning and development programme</li> <li>Multiple opportunities to enjoy life at Parser, with experience and engagement initiatives and perks throughout the year.</li> </ul>

Parser

Senior AI Engineer

<a href="https://www.forumvc.com/studio" target="_blank">Forum's Venture Studio</a> is a leading early-stage fund and program for B2B SaaS startups. Starting a company is demanding, complex, and psychologically challenging. As former founders and early-stage operators, we understand firsthand that Founders need support, honest feedback, and someone who truly cares in their corner.Our mission is to make the journey easier and more successful for Founders, and we've achieved this by making over 350+ seed investments that have raised $600M+ in follow-on funding. Forum founders have gone on to raise from funds like Andreessen Horowitz, NEA, Uncork Capital, 8VC, Founders Fund, Menlo Ventures, Canaan, Bowery Capital, Susa Ventures, SV Angel, and more. What are we exploring? We’re exploring a platform that automates FedRAMP and StateRAMP compliance for startups and mid-market SaaS companies. Today’s certification process is long, costly, and fragmented, typically requiring over a year and millions in spend. Recent regulatory changes and increasing security demands have made the process even harder for early-stage vendors, while government agencies still struggle with manual workflows and siloed approvals across different cloud environments.Our thesis is to build a platform that accelerates approval timelines, automates documentation, and enables real-time monitoring. The product will integrate with cloud and security tools, assist with assessor workflows, and offer dashboards to keep systems audit-ready. As mandates push for automation and acceptance of machine-readable compliance artifacts, we see a timely opportunity to define the infrastructure layer for public sector cloud security.Forum derisks and accelerates the Founder path by:<ul> <li>A $250K USD investment, and an end-to-end fundraising playbook and network to raise your seed and Series A</li> <li>A validation partner with proven playbooks, networks, and the systems to validate, unlock your ICP, ignite your sales pipeline, and beyond</li> <li>The support of our experienced operating team - from business design, product development, growth, recruitment, legal and more</li> <li>Executing a winning GTM strategy to get to $50-100K ARR, and the right MVP to ensure early traction</li> <li>A community full of mentors, peers, and leaders</li> <li>$100K worth of business perks</li> </ul>What you bring:<ul> <li>Deep understanding of compliance frameworks like FedRAMP, StateRAMP, or SOC 2, and their impact on cloud infrastructure and SaaS businesses</li> <li>Experience building or leading security, compliance, or infrastructure products—ideally within govtech, cybersecurity, or regulated SaaS</li> <li>Strong grasp of public sector procurement, cloud architectures, and the unique challenges faced by early-stage vendors</li> <li>Proven ability to launch and scale enterprise-grade software in complex, highly regulated markets</li> <li>Entrepreneurial, customer-obsessed, and skilled at translating regulatory complexity into intuitive, automation-driven products</li> </ul>Please note, this is not an employment opportunity with Forum Ventures. About Forum Ventures Forum Ventures® is the leading early-stage fund, program, and community for B2B SaaS startups based in New York, San Francisco, Toronto, and remote. Founded in 2014, we’re on a mission to make the B2B SaaS journey easier, more accessible, and more successful for early-stage founders, through pre-seed and seed-stage funding. We provide high-touch 1:1 support, programming, corporate perks and introductions, and an active SaaS community to support you through every step of your building journey. Starting a company is demanding, complex, and psychologically challenging. As former founders and early-stage operators, we understand firsthand that Founders need support, honest feedback, and someone who truly cares in their corner. Our mission is to make the journey easier and more successful for Founders, and we've achieved this by making over 350+ investments that have raised $1Bn+ in follow-on funding. Forum founders have gone on to raise from funds like Andreessen Horowitz, NEA, Uncork Capital, 8VC, Founders Fund, Menlo Ventures, Canaan, Bowery Capital, Susa Ventures, SV Angel, and more.

Forum Ventures

Founder, Govtech Compliance AI

<h3> Position Summary </h3> Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further. Recruiting for this role ends on April 17th, 2025. Work you’ll do Core responsibilities: <ul> <li>Lead the design, development, and implementation of GenAI models &amp; agents.</li> <li>Manage the creation &amp; maintenance of intuitive and engaging UI/UX for analytics tools and applications.</li> <li>Develop timelines, milestones, and metrics to effectively plan and execute projects.</li> <li>Collaborate with firm &amp; business leaders, other FP&amp;A teams and other key stakeholders on project deliverables and progress.</li> <li>Ensure the scalability, reliability, and performance of AI models and analytics platforms.</li> <li>Manage and mentor a team of data scientists, AI engineers, and UI/UX designers.</li> <li>Translate complex technical concepts and insights to non-technical stakeholders.</li> <li>Support and build presentations on our GenAI products &amp; solutions for clients and leadership.</li> <li>Develop and implement best practices for AI model development, deployment, and monitoring.</li> <li>Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value.</li> <li>Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals.</li> <li>Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design.</li> <li>Automate and streamline projects to increase efficiencies and scalability.</li> <li>Support ad-hoc requests and investigations into the data &amp; process that support our GenAI tools.</li> </ul> The successful candidate will possess: <ul> <li>Strong project management skills. </li> <li>Excellent problem-solving skills and the ability to think strategically.</li> <li>Strong leadership and team management skills.</li> <li>Excellent communication and interpersonal skills.</li> </ul> The team Strategic Analytics sits within our Finance FP&amp;A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI &amp; data science, strategic thinking, and deep firm knowledge to support leadership’s most important business decisions. Our insights are integral to driving growth into the future. GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements. Qualifications Required: <ul> <li>Bachelor’s degree in AI / Data Science or a related subject</li> <li>Minimum of 5+ years of relevant experience</li> <li>Demonstrated accomplishments in the following areas:</li> <ul> <li>Advanced understanding of data science coding languages (Python, R, SQL).</li> <li>Experience developing GenAI solutions with LLMs (Llama, ChatGPT).</li> <li>Experience with cloud platforms (Databricks, Microsoft Azure).</li> <li>Experience with visualizations tools (Tableau, Power BI).</li> <li>Advanced in MS Office (Excel, PowerPoint, Outlook, Teams).</li> <li>Implementing complex AI/ML algorithms.</li> </ul> <li>Limited immigration sponsorship may be available</li> <li>Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve</li> </ul> Preferred: <ul> <li>Advanced education degree.</li> <li>Certifications in GenAI, AI/ML, or UI/UX design.</li> <li>Experience with front-end development (HTML, CSS, JavaScript, React).</li> <li>Experience in the financial services or consulting industry.</li> <li>Business knowledge on financial and operational data.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. EA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Deloitte

Data Science Manager, GenAI, Strategic Analytics - Data Science

<a href="https://www.forumvc.com/studio" target="_blank">Forum's Venture Studio</a> is a leading early-stage fund and program for B2B SaaS startups. Starting a company is demanding, complex, and psychologically challenging. As former founders and early-stage operators, we understand firsthand that Founders need support, honest feedback, and someone who truly cares in their corner.Our mission is to make the journey easier and more successful for Founders, and we've achieved this by making over 350+ seed investments that have raised $600M+ in follow-on funding. Forum founders have gone on to raise from funds like Andreessen Horowitz, NEA, Uncork Capital, 8VC, Founders Fund, Menlo Ventures, Canaan, Bowery Capital, Susa Ventures, SV Angel, and more. What are we exploring? Asset-Based Lending AI: Modernizing a $682B MarketAsset-Based Lending (ABL) is a $682B+ market still reliant on outdated, manual processes like in-person appraisals and audits to value collateral. These methods are slow, expensive, and error-prone, hindering deal velocity, limiting credit access, and placing heavy burdens on lenders, especially in the SMB segment. As demand for real-time, accurate collateral valuation grows, the lack of modern infrastructure has become a critical bottleneck.While ABL remains stuck in outdated processes, the synthetic data space is gaining traction, with startups like MostlyAI, Aindo, and YData raising capital for broad financial applications. Yet no one is addressing the unique needs of the ABL asset class, leaving a clear gap for disruption.We’re building a synthetic data platform purpose-built for ABL underwriting and real-time asset monitoring. The platform uses computer vision to analyze images and videos of equipment for condition assessment and inventory verification, and leverages diffusion models to generate synthetic data based on historical appraisals, simulating asset performance over time. It also interprets unstructured data like valuation reports and liquidation records to support underwriting decisions.Forum derisks and accelerates the Founder path by:<ul> <li>A $250K USD investment, and an end-to-end fundraising playbook and network to raise your seed and Series A</li> <li>A validation partner with proven playbooks, networks, and the systems to validate, unlock your ICP, ignite your sales pipeline, and beyond</li> <li>The support of our experienced operating team - from business design, product development, growth, recruitment, legal and more</li> <li>Executing a winning GTM strategy to get to $50-100K ARR, and the right MVP to ensure early traction</li> <li>A community full of mentors, peers, and leaders</li> <li>$100K worth of business perks</li> </ul>What you bring:<ul> <li>Deep expertise in asset-based lending, financial risk modeling, or AI/ML applications in credit or underwriting</li> <li>Strong understanding of collateral valuation, compliance frameworks, and credit risk in structured finance</li> <li>Experience leading product or engineering teams, ideally in fintech, insurtech, or enterprise AI platforms</li> <li>Proven ability to build from zero-to-one in highly regulated or complex markets</li> <li>Demonstrated success in navigating legacy financial ecosystems while introducing innovative, data-driven solutions</li> <li>Comfortable operating at the intersection of synthetic data, computer vision, and underwriting infrastructure.</li> </ul>Please note, this is not an employment opportunity with Forum Ventures. About Forum Ventures Forum Ventures® is the leading early-stage fund, program, and community for B2B SaaS startups based in New York, San Francisco, Toronto, and remote. Founded in 2014, we’re on a mission to make the B2B SaaS journey easier, more accessible, and more successful for early-stage founders, through pre-seed and seed-stage funding. We provide high-touch 1:1 support, programming, corporate perks and introductions, and an active SaaS community to support you through every step of your building journey. Starting a company is demanding, complex, and psychologically challenging. As former founders and early-stage operators, we understand firsthand that Founders need support, honest feedback, and someone who truly cares in their corner. Our mission is to make the journey easier and more successful for Founders, and we've achieved this by making over 350+ investments that have raised $1Bn+ in follow-on funding. Forum founders have gone on to raise from funds like Andreessen Horowitz, NEA, Uncork Capital, 8VC, Founders Fund, Menlo Ventures, Canaan, Bowery Capital, Susa Ventures, SV Angel, and more.

Founder, Asset-Based Lending AI Solutions

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative. We’re looking for a Staff Analytics Engineer to help in shaping the data infrastructure, modeling, and analytics capabilities of Webflow. You will be responsible for designing scalable data solutions and ensuring high-quality data availability for analytics and decision-making. This role bridges the gap between data engineering and insights, enabling data-driven strategies across the company. You will be joining a results oriented, collaborative team with an established, shared understanding of our business logic, a modern data stack and lots of opportunity to extend the function to build new data analytics frameworks and establish best practices. You’ll work closely with both technical and non-technical stakeholders to transform our data in ways that improve the flexibility and repeatability of analysis. You'll also partner on metric definitions and governance, and help teams understand and improve our user experience through data. You’ll bring your expertise to improve our current processes and promote a shared language across our growing data functions at Webflow, thoughtfully developing Webflow’s data maturity for lasting impact. We are looking for an empathetic, humble, curious and collaborative team member who is excited to strengthen our foundational data capabilities and provide creative solutions that maximize data utility at Webflow. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States; BC &amp; ON, Canada)</li> <li>Full-time </li> <li>Permanent </li> <li>Exempt</li> <li>Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.</li> <li>United States (all figures cited below in USD and pertain to workers in the United States) <ul> <li>Zone A: [$175,000 - $247,000]</li> <li>Zone B: [$164,000 - $232,000]</li> <li>Zone C: [$154,000 - $217,000]</li> </ul> </li> <li>Canada (All figures cited below in CAD and pertain to workers in ON &amp; BC, Canada) <ul> <li>[$199,000 - $281,000] </li> </ul> </li> </ul> Please visit our <a href="https://webflow.com/careers#pay-zones" target="_blank">Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. <ul> <li>Reporting to the Senior Manager, Data Analytics</li> </ul> As a Staff Analytics Engineer you’ll … <ul> <li> Design and build scalable, reliable, and well-documented data models and pipelines that form the foundation of the analytics stack and support cross-functional business needs.</li> <li> Act as a strategic partner to cross-functional teams by deeply understanding business domains, fostering collaboration, and driving a culture of curiosity and continuous improvement through data.</li> <li> Lead the evolution of our data warehouse architecture, analytics engineering workflows, and BI layer—contributing to the development of intuitive dashboards and self-serve tools that empower data-informed decision-making.</li> <li> Collaborate closely with data analysts, data scientists, and data engineers to define and maintain trusted metrics, ensure data quality, and improve usability and accessibility of core data assets.</li> <li> Drive best practices in metric development, testing frameworks, lineage tracking, and documentation standards using tools such as dbt, Snowflake, and Tableau.</li> <li> Serve as a subject matter expert and thought partner in strategic, cross-functional initiatives—applying systems thinking and deep technical expertise to improve data flows and inform high-impact decisions.</li> </ul> In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. <h1>About you:</h1> You’ll thrive as a Staff Analytics Engineer if you: <ul> <li> Have 4–6+ years of hands-on experience in analytics engineering or related data roles – You have deep experience building and maintaining scalable, reliable data models and infrastructure, ideally in a modern data stack environment.</li> <li> Have strong experience managing/leading the following disciplines:</li> <ul> <li>SQL/Python</li> <li>Data modeling</li> <li>ETL/ELT</li> <li>Cloud Warehouses</li> </ul> <li> Are tech-savvy and systems-oriented – You’re comfortable writing per working with dbt and tools like Snowflake and Tableau, and you’ve helped shape scalable workflows that balance speed and governance.</li> <li> Have a track record of building and scaling data foundations – You’ve led the implementation of high quality data models, data testing frameworks, dashboards, and documentation standards that enable trust and reusability.</li> <li> Have strong communication and project management skills – You can distill technical topics for non-technical audiences and drive adoption of data best practices across teams. You work seamlessly with stakeholders across a variety of teams as well to deliver impactful solutions.</li> <li> Thrive collaborating with other data team members and non-technical stakeholders in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems</li> </ul> <h3>Our Core Behaviors:</h3> <ul> <li> Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers</li> <li> Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment</li> <li> Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care</li> <li> Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates</li> </ul> <h3>Benefits &amp; wellness</h3> <ul> <li>Equity ownership (RSUs) in a growing, privately-owned company</li> <li>100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment</li> <li>12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement</li> <li>Flexible PTO for all locations and sabbatical program</li> <li>Access to mental wellness and professional coaching, therapy, and Employee Assistance Program</li> <li>Monthly stipends to support work and wellness</li> <li>401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage</li> </ul> <h3>Remote, together</h3> At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href="https://webflow.com/diversity-equity-inclusion" target="_blank">committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. <h3>Stay connected</h3> Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href="https://webflow.com/blog" target="_blank">Webflow Blog</a>, <a href="https://www.linkedin.com/company/webflow-inc-/" target="_blank">LinkedIn</a>, <a href="https://twitter.com/webflow" target="_blank">X (Twitter)</a>, and/or <a href="https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm" target="_blank">Glassdoor</a>. <h3>Please note:</h3> We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review <a href="https://webflow.com/legal/applicant-privacy-notice" target="_blank">Webflow’s Applicant Privacy Notice</a>.

44 Data Science Jobs in Wichita, KS, USA