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Progyny

<div>Thank you for considering Progyny!
We are hiring a Manager, Medical Economics &amp; Analytics to join our team in New York City. This role will primarily support the Operations team.
Our team develops data, analytical insights, and tools that support Progyny&rsquo;s internal operations and help drive an exceptional member and provider experience. In this role, you&rsquo;ll partner closely with cross-functional teams, including Provider Network, Claims, Contact Center, and Member Experience, to deliver analyses and solutions that improve operational performance and inform strategic decision-making. You&rsquo;ll also work closely with Data Engineering and IT partners to advance our analytics infrastructure, expand AI-enabled capabilities, and build scalable solutions that enable teams across the organization to make better data-driven decisions.
What You'll Do...<ul><li>
Become a subject matter expert (SME) in Progyny claims, utilization, provider network, operational, and financial data, translating complex datasets into actionable insights that improve business performance.</li><li>
Lead, develop, and mentor a team of analysts responsible for delivering high-quality analyses, reporting, and analytical solutions to key operational stakeholders.</li><li>
Build, maintain, and optimize scalable analyses, data models, dashboards, and reporting using SQL, Excel, and modern analytics and visualization tools.</li><li>
Partner closely with cross-functional operational teams, including Provider Network, Claims, Contact Center, and Member Experience, to identify opportunities, evaluate performance, develop KPIs, and deliver insights that inform operational and strategic decision-making.</li><li>
Partner with Data Engineering and other IT teams to help shape and advance Progyny&rsquo;s analytics infrastructure and data strategy, including data models, pipelines, tooling, governance, and self-service analytics capabilities.</li><li>
Identify opportunities to improve analytical workflows, automate manual processes, and drive cross-functional initiatives that increase operational efficiency and enable scalable, data-driven decision-making.</li></ul>
About You...<ul><li>
Bachelor's degree with an analytical focus in healthcare, economics, finance, statistics, data analytics, or a related field.</li><li>
5&ndash;7 years of relevant experience in healthcare, insurance, consulting, analytics, or a related field, including 1&ndash;3 years of people management experience.</li><li>
Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large and complex datasets (30M+ rows).</li><li>
Experience working with modern data platforms and transformation tools such as AWS, dbt, Databricks, or similar technologies.</li><li>
Proficiency with data visualization and business intelligence tools such as Tableau, Power BI, Looker, or similar platforms, with demonstrated experience developing effective dashboards and data products for business stakeholders.</li><li>
Advanced analytical and problem-solving skills with the ability to translate ambiguous business questions and complex datasets into structured analyses, clear insights, and actionable recommendations.</li><li>
Familiarity with healthcare and insurance terminology, provider networks, healthcare operations, and medical or pharmacy claims data.</li><li>
Demonstrated experience leading, coaching, and developing analysts while establishing priorities, maintaining high standards for analytical quality, and creating an environment of continuous learning.</li><li>
Experience working in modern analytics environments and IDEs (e.g., Visual Studio Code, Cursor, PyCharm, or similar) and using AI-enabled tools to accelerate analysis, development, or workflows.</li><li>
Ability to partner effectively with Data Engineering and technical teams to define data requirements, improve analytical infrastructure, and develop scalable data and reporting solutions.</li><li>
Excellent time and project management skills with the ability to prioritize competing requests, manage multiple initiatives simultaneously, and deliver high-quality work under tight deadlines.</li><li>
Self-motivated and comfortable operating independently, navigating ambiguity, and taking ownership of analytical initiatives from problem definition through implementation.</li><li>
Advanced written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders, influence cross-functional partners, and communicate effectively with senior leadership.</li></ul>
Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future.
About Progyny:
Progyny (Nasdaq: PGNY) is a global leader in women&rsquo;s health and family building solutions, trusted by the nation&rsquo;s leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians.
Our benefits solution empowers patients with concierge support, coaching, education, and digital tools; provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs.
Our mission is to empower healthier, supported journeys through transformative fertility, family building and women&rsquo;s health benefits.
Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit www.progyny.com.
Our perks:
<ul><li>Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents&rsquo; Employee Affiliation Group</li><li>
Menopause and midlife care</li><li>
Health, dental, vision and life insurance options for employees and family</li><li>
Free in-person, virtual and text-based mental health and wellness support
</li><li>Paid time off, including vacation, sick leave, personal days and summer flex time</li><li>
Company equity</li><li>
Bonus program</li><li>
401(k) plan with company match</li></ul><ul><li>
Access to on-demand legal and financial advice</li><li>
Learning and development programs to help you grow professionally and a mentorship program</li><li>
Company social events to include annual volunteer day and donation matching</li><li>
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office</li></ul>
In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $130,000 - $145,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity.
Progyny is proud to be an Equal Opportunity and Affirmative Action employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law.
If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to apply@progyny.com.
#LI-BG1</div>

Manager, Medical Economics & Analytics

Ameriprise Financial

<div>About Our Company 
We&rsquo;re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses &ndash; Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
Job Description
The VP-Forward Deployed Engineer operates at the intersection of investment strategy, quantitative analysis and applied artificial intelligence. The position is responsible for partnering closely with portfolio management and investment research teams to identify opportunities, design solutions, and develop, prototype, and deploy LLM-enabled tools that enhance investment decision-making and research processes. Combines investment management knowledge with software engine capabilities to translate investment ideas and research needs into scalable technology solutions.
Key Responsibilities<ul><li>
Serve as a trusted advisor to investment leaders, translating investment strategies, research priorities, and business challenges into innovative AI-enabled solutions that improve investment outcomes and organizational efficiency.</li><li>
Drive the design and delivery of proof-of-concept and production-ready AI capabilities, leveraging advanced analytics, machine learning, and LLM technologies to accelerate investment insights and decision-making.</li><li>
Partner across Investments, Technology, Data, Risk, and Compliance functions to ensure solutions meet enterprise standards for security, governance, scalability, and regulatory compliance.</li><li>
Influence the AI and investment technology roadmap by identifying high-value opportunities, evaluating emerging capabilities, and promoting adoption of innovative solutions across the investment organization.</li><li>
Lead the transition of successful prototypes into sustainable enterprise capabilities, partnering with engineering and platform teams to scale solutions and realize long-term business value.</li></ul> 
Required Qualifications<ul><li>
10+ years of combined experience across investment management, quantitative research/strategy, and hands-on software or AI engineering, with demonstrated success taking investment problems from concept to working solution.</li><li>
Direct experience working alongside trading desks, portfolio managers, or investment researchers, with desk strategist, quant strat, or research technologist backgrounds strongly preferred.</li><li>
Hands-on experience building and shipping LLM enabled/integrated applications: RAG/embeddings, agentic workflows, prompt engineering, API integration.</li><li>
Strong Python development skills producing production-quality code.</li><li>
Expertise with cloud infrastructure and modern software practices (CI/CD, version control, API design).</li><li>
Fluency in at least one asset class (equities, fixed income, multi-asset, or macro) at a level where you can challenge and contribute to investment discussions, not just support them.</li><li>
Track record of delivering secure, auditable AI solutions in a regulated environment, partnering with risk and compliance.</li></ul> 
Preferred Qualifications<ul><li>
Direct experience supporting front-office investment teams (portfolio managers, analysts, researchers, traders).</li><li>
Familiarity with agent frameworks and orchestration tools (LangChain, LangGraph, LlamaIndex, MCP) and vector databases.</li><li>
Experience building internal copilots, research assistants, or document-intelligence tools.</li><li>
CFA, FRM, or equivalent investment credential.</li><li>
Track record of shipping AI or analytics solutions that produced measurable, real-world outcomes.</li></ul>
Visa Sponsorship 
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).
In-Office Collaboration 
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders &mdash; clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process. 
Base Pay Salary
The estimated base salary for this role is $242,100 - $332,900 / year. We have a pay-forperformance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.<div><div><div><div><div><div><div>
Full-Time/Part-Time</div></div></div></div></div></div></div>
Full time<div><div><div><div><div><div><div>
Exempt/Non-Exempt</div></div></div></div></div></div></div>
Exempt<div><div><div><div><div><div><div>
Job Family Group</div></div></div></div></div></div></div>
Data<div><div><div><div><div><div><div>
Line of Business
</div></div></div></div></div></div></div>TECH Technology
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.</div>

Vice President - Forward Deployed Engineer

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Description:</h2>
</div><div>Experience: 8&ndash;14 years overall | 5+ years as Scrum Master
 
Engagement: Large Insurance &amp; Communications Program
 
Location: [New York City - Hybrid 3 days per week]
 
Type: Full Time
<div>Work Authorization: This position does not offer visa sponsorship now or in the future. Applicants must be U.S. Citizens or lawful Permanent Residents (Green Card holders) authorized to work in the United States on a full-time basis.
</div><div></div><h3 class="jobSectionHeader">Role Summary</h3>
We are seeking an experienced Scrum Master with program‑level delivery experience to support a Communications Agile Release Train (ART) within a large insurance transformation. This role focuses on agile execution, cross‑team dependency management, and coordination with internal platform teams and external vendors in a co‑sourced delivery model.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Facilitate Scrum ceremonies (Sprint Planning, Daily Stand‑ups, Reviews, Retrospectives) for one or more teams within the Communications ART.</li>
<li>Support PI Planning, iteration execution, and ART‑level ceremonies in alignment with SAFe Agile practices.</li>
<li>Identify, track, and proactively manage dependencies across teams, ARTs, shared services, and third‑party vendors.</li>
<li>Coordinate delivery timelines with internal platform/integration teams and external partners.</li>
<li>Remove impediments, manage risks, and drive predictable sprint and PI delivery.</li>
<li>Maintain and communicate program‑level status, risks, and dependency dashboards.</li>
<li>Partner closely with RTEs, Product Managers, Product Owners, and Solution Leads.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Skills &amp; Experience</h2>
</div><div><ul><li>8+ years of total IT experience, including 5+ years in a Scrum Master role.</li></ul>
<ul><li>Hands-on experience working in SAFe / Agile Release Train (ART) environments.</li></ul>
<ul><li>Proven experience supporting PI Planning and ART-level ceremonies.</li></ul>
<ul><li>Strong experience managing cross-team, cross-ART, and third-party dependencies.</li></ul>
<ul><li>Experience working in co-sourced delivery models with onshore/offshore teams.</li></ul>
<ul><li>Strong communication, facilitation, and stakeholder management skills.</li></ul>
<ul><li>Proficiency with Jira, Azure DevOps, or Rally.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications:</h2>
</div><div><ul><li>Experience supporting Communications, Digital, or MarTech Agile Release Trains.</li></ul>
<ul><li>Exposure to customer communications platforms (OpenText Exstream, xPression, Quadient, Adobe).</li></ul>
<ul><li>Experience within the insurance or financial services domain.</li></ul>
<ul><li>SAFe Scrum Master (SSM), SAFe Advanced Scrum Master (SASM), and/or PMP certification.</li></ul>
</div></div></div>The base compensation range for this role in the posted location is $100,000 - $118,000/ yearly.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Scrum Master (SAFe / Agile Release Train - Communications)

Micron Technology

Location: RemoteJob Type: Full-time or Part-time About Micron Technology Micron Technology is a global leader in innovative memory and storage solutions. Our products power everything from data centers and artificial intelligence to mobile devices and automotive technology. We are committed to creating a collaborative workplace where employees can grow, contribute meaningful work, and support customers around the world. Position Overview Micron Technology is seeking a reliable and detail-oriented Data Entry Clerk to join our remote team. In this role, you will be responsible for entering, updating, and maintaining accurate information across internal systems while supporting day-to-day administrative operations. This position is ideal for someone who is organized, dependable, and comfortable working independently in a remote environment. Responsibilities Enter, update, and maintain data in company databases and internal systems.Review documents for accuracy and correct incomplete or inconsistent information.Verify data before processing to ensure a high level of accuracy.Organize electronic files and maintain digital records.Assist with preparing reports, spreadsheets, and other business documents.Respond to internal requests for data and administrative support.Protect confidential company and employee information.Perform routine quality checks to ensure data integrity.Collaborate with team members to meet deadlines and support ongoing projects.Complete additional administrative tasks as assigned.  Qualifications High school diploma or equivalent.Previous data entry or administrative experience is preferred but not required.Strong attention to detail and organizational skills.Good written and verbal communication skills.Basic knowledge of Microsoft Excel, Word, and Outlook.Comfortable learning new software and internal systems.Ability to work independently and manage multiple tasks.Reliable internet connection and a dedicated workspace. Benefits Health, dental, vision, life, and disability insurance401(k) retirement savings plan with company matchPaid time off and company holidaysEmployee assistance programWellness resourcesEmployee stock purchase program (where eligible)Paid training and professional development opportunitiesCareer growth within a global technology company Micron Technology is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive workplace where every employee is treated with respect and has the opportunity to succeed.

Data Entry Clerk (Remote)

Wix.com, Inc.

<div>Job Description 
We're building the go-to-market team for Base44, an AI-powered software development platform recently acquired by Wix. As an Account Manager, you'll be instrumental in managing business customers (from SMB to enterprise), nurturing long-term partnerships, ensuring they realize maximum value from our platform, championing their success, and identifying opportunities for growth.
This role is ideal for a customer-centric professional who thrives in a fast-paced, entrepreneurial environment and is excited to foster relationships that drive both customer satisfaction and business expansion. You'll have a foundational role in scaling our business, advocating for our customers, and shaping a best-in-class customer experience.
We&rsquo;re building the go-to-market team for Base44, an AI-powered software development platform
Responsibilities:<ul><li>
Own and nurture relationships with our business customers, serving as their primary point of contact and trusted advisor</li><li>
Ensure successful onboarding, adoption, and ongoing engagement with the Base44 platform</li><li>
Identify and drive opportunities for account growth, including renewals, upsells, and cross-sells</li><li>
Proactively monitor customer health, usage trends, and satisfaction to mitigate churn and ensure long-term retention</li><li>
Translate customer feedback and needs into actionable insights for the product, engineering, and leadership teams</li><li>
Collaborate with sales, product, marketing, and support to deliver a seamless and positive client experience</li><li>
Develop and deliver regular business reviews, demonstrating ROI and helping customers achieve their objectives</li><li>
Use AI tools proactively to enhance your own productivity and the team's from drafting - communications and synthesizing customer insights to building lightweight internal tools that reduce manual work</li><li>
Maintain and continuously improve how we work - building automations, templates, and AI-powered workflows that scale how the team manages accounts and tracks customer health</li><li>
Help define our operating motion from day one - establishing scalable playbooks, tooling, and AI-assisted processes that grow with the team</li></ul> 
Qualifications<ul><li> 
4+ years of account management or customer success experience in a B2B technology company, preferably a startup</li><li>
Experience managing mid-market and enterprise customers in SaaS, AI, developer tools, ML, or related technology sectors</li><li>
Proven track record of driving account growth, renewals, and customer satisfaction</li><li>
Exceptional communication, presentation, and relationship-building skills</li><li>
Strong problem-solving abilities and a passion for helping clients achieve their goals</li><li>
Organized, proactive, and comfortable operating in a high-growth, fast-changing environment</li><li>
A builder's mindset: you're comfortable experimenting with AI tools, automating repetitive tasks, and figuring things out &mdash; you don't wait for a system to exist before creating one</li><li>
Bonus: Experience with AI platforms, developer-focused solutions, or technical customer onboarding</li></ul> 
Additional Information 
We're Base44, a newly acquired part of Wix, on a mission to change how software gets built. Our AI-powered platform allows anyone to create custom software applications using natural language - no traditional coding required. We operate like a startup within Wix: fast-moving, collaborative, and focused on solving complex problems with simple, elegant solutions. 
*** 
Expected base compensation salary range $125,000 - $150,000. In addition to base pay you will receive company RSUs as part of the compensation package.Final package may vary and will be determined by various factors including location the role is expected to be performed, shift, candidate profile and ideal qualifications. 
*** 
For U.S. employees, this role is currently eligible for a benefit package that includes competitive medical, dental and vision insurance, a retirement savings plan, wellness benefits, travel expenses and subsidized lunch no matter where you live.
Other benefits vary from country to country. You&rsquo;ll get a detailed offer at the final stages of the hiring process, though salary expectations may be discussed earlier in the process.</div>

Account Manager - Base44

Tessera Labs

<div>
 
 About Tessera Labs
 
 
 
 Tessera Labs is a new category of enterprise software: an AI platform that changes how the world's largest companies run.
 
 
 Every large enterprise carries the same weight &mdash; decades of accumulated process, data, and code that no longer match the business it has become. Changing any of it is a program measured in years and hundreds of millions of dollars, staffed by armies of consultants, and it fails more often than anyone admits. Most companies have quietly accepted this as the cost of being large.
 
 
 We don't. Tessera is a transformation engine: a governed, multi-agent platform that understands an enterprise's process, data, and code as one connected system and changes it in weeks rather than years. We're vendor-agnostic by design &mdash; SAP, Salesforce, Workday, Oracle, Snowflake, MuleSoft &mdash; and tied to none of them.
 
 
 Two things make this hard, and they're the reason the job is interesting. Governance: every action is logged, traceable, and reversible, because our customers are regulated and these are the systems that close their books. And generality: the platform has to work on landscapes it has never seen, at companies whose complexity is genuinely unique to them.
 
 
 
 We sell a product, not a service.
 
 Our people are here to make the product successful, not the other way around. If you've watched enterprise AI companies quietly become consultancies, that distinction is the one to press us on.
 
 
 We raised a $60M Series A led by Andreessen Horowitz, with Foundation Capital, Myriad Venture Partners, and Osage University Partners participating.
 
 
 
 About The Role
 
 
 
 Turning platform capability into outcomes a Fortune 500 will bet on has two halves &mdash; the systems that surround the model, and the model itself. This role owns the first.
 
 
 You will own agents end to end: the harness they run in, the tools they call, the context they see, the guardrails around them, and the evals that tell us whether any of it is improving. Most of the difficulty is not model access. It's an agent reasoning across a landscape with nineteen years of undocumented decisions embedded in it, where one call silently returns a stale schema forty steps into a plan &mdash; and the work of making that failure legible, reproducible, and then impossible.
 
 
 This is not a prototyping role. Everything you build gets pointed at systems a company's quarter close depends on.
 
 
 
 If the model itself interests you more than the systems around it, look at Research Engineer &mdash; same team, other half of the problem.
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and ship the production agents that do transformation work: understanding a landscape, planning a change, executing it across process, data, and code, and proving it was correct.
 </li>
 <li>
 Build the tool layer &mdash; typed, permissioned, well-documented interfaces that let agents read and act across enterprise systems without ever exceeding what a human approver authorized.
 </li>
 <li>
 Improve agent performance through prompting, context construction, tool-use strategy, and decision logic &mdash; and know which of those a given failure calls for.
 </li>
 <li>
 Build the retrieval layer over enterprise artifacts and metadata: chunking and indexing strategies for content that doesn't resemble prose, hybrid search, reranking, grounding, and the evaluation that tells you whether any of it helped.
 </li>
 <li>
 Manage context deliberately. Enterprise artifacts are enormous and a forty-step run accumulates history fast; deciding what the model sees, what gets compressed, and what gets dropped is a first-class engineering problem here, not a prompt detail.
 </li>
 <li>
 Use classical ML where it's the right tool. Plenty of the work inside an agent pipeline &mdash; routing, ranking, classification, anomaly detection, confidence estimation &mdash; is better served by a small supervised model than by another LLM call, and knowing the difference is part of the job.
 </li>
 <li>
 Build the eval and monitoring layer: task sets drawn from real customer landscapes, regression coverage on every deploy, and alerting that catches a changed schema, a revoked authorization, or a new model version before the customer does.
 </li>
 <li>
 Instrument every run so each model call, tool invocation, decision, and human approval can be reconstructed afterward. This is what "passes audit" means in practice, and it's a product requirement rather than a nice-to-have.
 </li>
 <li>
 Diagnose production failures from execution traces down to root cause, then close the gap in the system rather than in a single prompt.
 </li>
 <li>
 Design the guardrails, approval gates, and rollback paths that make an agent safe to point at a live enterprise landscape.
 </li>
 <li>
 Build capability that generalizes. Anything that only works for one customer is a bug in the product, not a feature of the engagement.
 
 
 </li>
 </ul>
 
 Representative projects
 
 
 
 <ul>
 <li>
 Shipping the agent that lets a customer retire a third of their custom estate in a quarter &mdash; and the review surface that makes a human comfortable approving each call in minutes rather than days.
 </li>
 <li>
 Designing the approval and write semantics for agents operating in a live landscape, so nothing reaches production without a traceable human decision and no partial failure leaves systems inconsistent.
 </li>
 <li>
 Building the reconciliation agent that makes two merged companies' data agree, plus the eval set that tells us when it's confident and when it's guessing.
 </li>
 <li>
 Standing up the replay-evaluation pipeline that scores a candidate agent version against a month of recorded runs &mdash; real system responses, mocked writes &mdash; so a regression is caught before anything is touched in a customer environment.
 </li>
 <li>
 Taking a pattern that worked at one customer and turning it into a platform primitive that works at the next four without a human rewriting it.
 
 
 </li>
 </ul>
 
 You may be a good fit if you
 
 
 
 <ul>
 <li>
 Have 3+ years building and operating production software, with meaningful recent time on LLM-powered systems.
 </li>
 <li>
 Have shipped agentic systems that real users depend on, and have owned the incident when they broke.
 </li>
 <li>
 Are fluent in the current agent toolkit &mdash; tool calling, orchestration, context engineering, RAG, evals, tracing &mdash; and can say where each one stops working.
 </li>
 <li>
 Have built retrieval systems against messy real-world corpora, and have measured them rather than assumed them.
 </li>
 <li>
 Have real traditional ML in your background &mdash; supervised learning, feature engineering, model evaluation &mdash; and reach for it when it beats a prompt.
 </li>
 <li>
 Treat evaluation as engineering rather than a report you generate at the end.
 </li>
 <li>
 Think in systems and customer outcomes, not model metrics.
 </li>
 <li>
 Are comfortable with non-determinism and have opinions about building reliably on top of it.
 </li>
 <li>
 Write strong Python and are comfortable in TypeScript.
 </li>
 <li>
 Ship fast, and verify before you claim it works.
 </li>
 <li>
 Find large, ugly, undocumented enterprise systems interesting rather than beneath you. That instinct is most of the job, and it's rarer than it should be.
 
 
 </li>
 </ul>
 
 Strong candidates may also have
 
 
 
 <ul>
 <li>
 Hands-on experience with enterprise platforms, their APIs, and their extension models &mdash; SAP, Salesforce, Workday, Oracle, Snowflake, MuleSoft, ServiceNow.
 </li>
 <li>
 Experience with knowledge graphs, ontologies, or semantic models over messy real-world systems.
 </li>
 <li>
 Experience with code analysis, program transformation, or automated refactoring at scale.
 </li>
 <li>
 Experience with MCP, sub-agents, or agent skill/plugin architectures.
 </li>
 <li>
 A background in distributed systems or workflow engines, where partial failure is the default case.
 </li>
 <li>
 Experience at an early-stage startup or as a founder, where scope was whatever needed doing that week.
 </li>
 <li>
 Familiarity with enterprise security and compliance realities: SSO, RBAC, segregation of duties, PII handling, SOC 2, data residency.
 
 
 </li>
 </ul>
 
 Join the Future of AI at Tessera Labs
 
 
 
 We're looking for someone who enjoys building reliable, scalable systems that help teams move faster. If you take pride in cutting-edge AI, value clear ownership, and want to have a meaningful impact in a fast-moving environment, you&rsquo;ll fit right in.
 
 
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 
 
 Compensation Range: $200K - $250K
 
 
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