data scientist

data analyst

business analyst

financial analyst

ai researcher

research analyst

HelloFresh

<div><h2 class="jobSectionHeader"><b>Senior Data Analyst</b></h2>
<p><b><i>
This is a hybrid role to our Newark, NJ HelloFresh facility</i></b></p>
<h2 class="jobSectionHeader"><b>
The role</b></h2>
<p>
As a Senior Data Analyst at HelloFresh, you will anchor the data strategy driving our aggressive, automation-first transformation. Our Global Customer Experience (GCX) team's mission is to understand our customers' journeys and empower market leads with insights and intelligent solutions that improve satisfaction, retention, and efficiency. We are moving fast to scale our self-serve rate, achieve 100% chatbot coverage, improve CSAT, and launch real-time, proactive incident communications via in-app CRM channels.</p>
<p>
We need a strategic thought partner for our Product, Engineering, and CX Automation teams who brings a high bar of technical rigor. In this role, you will own our core automation analytics architecture (chatbots, voicebots, agent-assist AI, and customer self-reporting tools), dive deep into GenAI conversational landscapes, and translate complex log data into actionable roadmap strategies. If you love solving open-ended problems and want to directly shape the experience of millions of global customers, you might just be our missing ingredient.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Anchor the data strategy for our entire automation and chatbot analytics infrastructure, serving as the sole embedded analytics lead within the Global CX department.</li>
<li>Proactively monitor user intents and trends to diagnose system bugs early and establish standardized, organization-wide KPIs for bot containment and NLP accuracy.</li>
<li>Conduct deep-dive analyses of chat transcripts and user journeys, leveraging semantic clustering and LLM evaluation to uncover friction points and tune conversational flows.</li>
<li>Continuously optimize and secure our reporting environment, ensuring data integrity, normalization, and advanced visualization techniques for critical executive decision-making.</li>
<li>Partner closely with cross-functional teams (Product, Engineering, and CX Automation) to translate complex customer log data and system requirements into sustainable roadmap strategies.</li>
<li>Own and deliver core business reporting mechanisms and dashboards, including the Monthly Business Review (MBR) and EBIT reviews.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll bring</b></h2>
<ul><li>A passion for driving automation-first transformations and solving complex operational problems within a fast-paced customer experience environment.</li>
<li>Advanced proficiency in Python and SQL to handle increased domain complexity and secure our underlying reporting architecture.</li>
<li>Experience with next-gen agentic workflow stacks (e.g., Claude Code, Cursor) to optimize development and analytical speed.</li>
<li>Proven track record of designing, implementing, and maintaining high-visibility BI solutions and dashboards that communicate trends clearly to Directors, VPs, and SVPs.</li>
<li>Excellent communication and stakeholder management skills, with the confidence to lead complex data analytics projects and influence cross-functional partner</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
You'll get</b></h2>
<ul><li><ul><li>Competitive Salary &amp; 401k company match that vests immediately upon participation</li>
<li>Generous parental leave of 16 weeks &amp; PTO policy, as well as paid holidays off</li>
<li>$0 monthly premium and other flexible health plans</li>
<li>Amazing discounts, including up to 85% off HelloFresh subscription</li>
<li>Emergency child and adult care services</li>
<li>Snacks &amp; monthly catered lunches</li>
<li>Collaborative, dynamic work environment within a fast-paced, mission-driven company</li></ul></li><br>
</ul>
<p></p><p>This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.</p>
<div>
#data</div></div>

Senior Analyst - CX Automation Intelligence & Insights

Ameriprise Financial

<div><p><b>About Our Company</b></p><p><br>
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.</p><p></p><p><b>
Job Description</b></p><p></p>
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.<p></p><p><b>
Key Responsibilities</b></p><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><p><b><br>
Required Qualifications</b></p><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><p><b><br>
Preferred Qualifications</b></p><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><p></p><p><b>
Visa Sponsorship</b><br>
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).</p><p></p><p><b>
In-Office Collaboration</b><br>
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.</p><p></p><p><b><br>
Base Pay Salary</b></p><p></p>
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.<p></p><div><div><div><div><div><div><div><p><b>
Full-Time/Part-Time</b></p></div></div></div></div></div></div></div>
Full time<p></p><div><div><div><div><div><div><div><p><b>
Exempt/Non-Exempt</b></p></div></div></div></div></div></div></div>
Exempt<p></p><div><div><div><div><div><div><div><p><b>
Job Family Group</b></p></div></div></div></div></div></div></div>
Data<p></p><div><div><div><div><div><div><div><p><b>
Line of Business</b><b>
</b></p></div></div></div></div></div></div></div>TECH Technology<p></p><p><i>
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.</i></p><p></p><p><i>
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.</i></p></div>

Vice President - Forward Deployed Engineer

Meta

<div>Meta is seeking a Product Marketing leader who is passionate about technology, innovation, and creating valuable experiences for advertisers. This Product Marketing lead will manage a team of Reels Monetization and Ads Experiences PMMs within the Instagram Business organization. This team helps build and launch Reels ad products so advertisers can harness the power of video to drive performance and engage users. They also help launch and scale ads in new surfaces such as Threads and partner with central Ads teams on bringing AI and creative transformations to Instagram ads.Success for this team is influencing product roadmaps through market research, product testing and insights, and building effective go-to-market strategies to bring innovative advertising experiences to market. This candidate will lead a team of Product Marketers focused on both inbound and outbound phases of product marketing. Inbound responsibilities are to represent the advertiser perspective in product strategy and development, via market analysis, opportunity sizing, and identifying unmet needs from discussions with internal and external stakeholders. Outbound responsibilities are to create and execute go-to-market strategies with advertiser value proposition messaging, market positioning, external-facing enablement and proof points, and alpha and beta testing.This role requires experience leading teams, influencing executive and cross-functional stakeholders through data-driven proposals, applying strategic and analytical thinking to ambiguous problems, and coaching direct reports toward measurable growth. This role is highly cross-functional and will work closely with the Product Management, Engineering, Data Science, Sales, Research, Communications, Marketing and other partner teams across Meta.<br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Product Marketing Lead, Instagram Reels Monetization and Ads Experiences Responsibilities:
</b><br>
</h3><ul><li>Lead, manage, and develop a team of highly skilled Product Marketers</li><li>
Develop strong cross-functional partnerships with peer leads in Product Management, Engineering, User Research, Design, Communications, Sales and other key teams</li><li>
Drive product &amp; GTM strategy bridging short-term execution and long-term vision</li><li>
Identify opportunities and represent view of the market by conducting industry research, including deep quantitative, qualitative and competitive analysis</li><li>
Distill and surface market feedback that informs product roadmap and improves advertising and business services offerings for the product portfolio</li><li>
Lead and coordinate go-to-market efforts globally to support product launches and scaled adoption</li><li>
Effectively and regularly communicate with leadership within the Product and Sales organizations</li><li>
Set clear strategy, vision, and prioritization for the team which aligns with product and organizational priorities</li><li>
Build and sustain a high-performing team with exceptional product marketing skills</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
BA/BS degree</li><li>
10+ years of experience working in a product management, product marketing, management consulting, digital advertising, or equivalent function</li><li>
Experience collaborating cross-functionally and building consensus across multiple stakeholders</li><li>
Experience gathering and analyzing customer and market feedback, translating this information into requirements and functional specifications</li><li>
Experience in setting product priorities and managing and communicating trade-offs</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Demonstrated to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Experience working on Instagram products or marketing on the Instagram platform</li><li>
Track record of influencing behavior at a variety of levels in the organization, including cross-functional leaders</li><li>
Digital advertising product development, including monetizing new surfaces, building new placements, and a technical understanding of Meta&rsquo;s ads products</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Track record of driving effective Go to Market, including launching new products and scaling adoption</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
<br>
<br>
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
<br>
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
<br>
$190,000/year to $258,000/year + bonus + equity + benefits<br>
<br>
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Product Marketing Lead, Instagram Reels Monetization and Ads Experiences

Corcoran Legends Realty Company 

<p>*About Us*</p><p>Corcoran Legends Realty Management is a results-driven real estate company helping clients buy, sell, and invest with confidence. We deliver expert guidance, local market knowledge, and exceptional service.</p><p> </p><p>*Role Overview*</p><p>We’re looking for a detail-oriented Virtual Assistant to support our real estate team with daily operations, client communication, and data management.</p><p> </p><p>*Key Responsibilities:*</p><p>- *Admin Support*: Manage emails, calendars, and schedule showings/appointments</p><p>- *Data Entry*: Update MLS listings, CRM, spreadsheets, and property files</p><p>- *Client Communication*: Respond to buyer/seller/renter inquiries via phone, email, and text</p><p>- *Marketing Support*: Assist with social media posts, listing descriptions, and flyers</p><p>- *Document Prep*: Contracts, lease agreements, and transaction paperwork organization</p><p>- *Research*: Market comps, lead generation, and vendor coordination</p><p> </p><p>*Requirements:*</p><p>- 1+ years VA or admin experience, real estate experience a plus</p><p>- Strong skills in Google Workspace, Microsoft Office, CRM tools</p><p>- Excellent written + verbal communication skills</p><p>- Highly organized, reliable internet, and able to work independently</p><p>- Knowledge of MLS, Zillow, or property management software is a bonus</p><p> </p><p>*Benefits:* Flexible remote schedule, growth opportunities, commission bonuses on referrals.</p><p> </p><p>Apply now and help us grow Corcoran Legends Realty Management!</p>

Remote Virtual Assistant

Sunher Royal Company

<h2>Job Overview<br /> </h2><p>We are seeking a highly organized, detail-oriented, and proactive <strong>Remote Data Entry / Executive Assistant</strong> to join our remote team. This position is ideal for a professional who excels at administrative support, data management, and executive coordination while maintaining a high level of accuracy, confidentiality, and professionalism.</p><p>The successful candidate will be responsible for providing executive administrative support, maintaining accurate records, coordinating schedules, managing communications, and performing data entry tasks to ensure smooth day-to-day business operations.<br /> </p><h2>Key Responsibilities<br /> </h2><p>Accurately enter, update, and maintain company records, databases, and confidential information.</p><p>Provide administrative support to executives and management teams.</p><p>Manage calendars, schedule appointments, meetings, and virtual conferences.</p><p>Prepare, edit, and organize correspondence, reports, presentations, and other business documents.</p><p>Respond to emails, phone calls, and other communications professionally and promptly.</p><p>Organize electronic files and maintain accurate documentation and records.</p><p>Coordinate travel arrangements, meeting logistics, and expense reports as required.</p><p>Perform document management, filing, and record-keeping while ensuring data accuracy.</p><p>Assist with special projects, research, and general administrative tasks.</p><p>Maintain confidentiality when handling sensitive company and executive information.</p><p>Collaborate with internal departments to ensure efficient workflow and operational support.</p><p>Perform additional administrative duties as assigned.<br /> </p><h2>Qualifications<br /> </h2><p>High school diploma or equivalent required; an associate's or bachelor's degree is preferred.</p><p>Previous experience in data entry, executive assistance, administrative support, or office administration is preferred.</p><p>Excellent written and verbal communication skills.</p><p>Exceptional organizational and time-management abilities.</p><p>Strong attention to detail and a high level of accuracy.</p><p>Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and Google Workspace.</p><p>Excellent typing and computer skills.</p><p>Ability to prioritize multiple tasks and meet deadlines in a remote work environment.</p><p>Strong problem-solving and interpersonal skills.</p><p>Ability to work independently while maintaining professionalism and confidentiality.<br /> </p><h2>Preferred Skills<br /> </h2><p>Experience with CRM systems, document management software, and scheduling tools.</p><p>Knowledge of virtual collaboration platforms such as Microsoft Teams or Zoom.</p><p>Strong multitasking and project coordination abilities.</p><p>Professional demeanor with excellent customer service and communication skills.<br /> </p><h2>Benefits<br /> </h2><p>Competitive salary with performance-based growth opportunities.</p><p>Fully remote work environment.</p><p>Flexible work schedule.</p><p>Paid training and professional development opportunities.</p><p>Career advancement within a growing organization.</p><p>Paid time off and holiday benefits.</p><p>Comprehensive benefits package for eligible employees.</p><p>Supportive, collaborative, and professional work environment.<br /> </p><p>If you are a motivated professional with exceptional organizational skills and a passion for administrative excellence, we encourage you to apply for this exciting opportunity to grow your career as a <strong>Data Entry / Executive Assistant</strong>.</p>

Data Entry / Executive Assistant

Tessera Labs

<div>
 <strong>
  About Tessera Labs
  <br/>
  <br/>
 </strong>
 Tessera Labs is a new category of enterprise software: an AI platform that changes how the world's largest companies run.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  We sell a product, not a service.
 </strong>
 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.
 <br/>
 <br/>
 We raised a $60M Series A led by Andreessen Horowitz, with Foundation Capital, Myriad Venture Partners, and Osage University Partners participating.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 This is not a prototyping role. Everything you build gets pointed at systems a company's quarter close depends on.
 <br/>
 <br/>
 <em>
  If the model itself interests you more than the systems around it, look at Research Engineer &mdash; same team, other half of the problem.
  <br/>
  <br/>
 </em>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Representative projects
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You may be a good fit if you
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strong candidates may also have
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join the Future of AI at Tessera Labs
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $200K - $250K
 <br/>
 <br/>
</div>


AI Engineer