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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

Legacy Counseling and Workforce Connections

<h3>About the role</h3><p>We are seeking a dedicated and highly organized Administrative Assistant to join our team in New York. In this full-time position, you will provide crucial support to ensure the efficient operation of our office and enhance productivity across various departments.</p><h3>Key responsibilities</h3><ul><li>Maintain and manage schedules, appointments, and travel arrangements for team members, ensuring optimal use of time and resources.</li><li>Prepare and coordinate internal and external communications, including emails, reports, and presentations, to facilitate information flow within the organization.</li><li>Assist with the organization of meetings, including preparing agendas, taking minutes, and following up on action items to ensure accountability.</li><li>Handle incoming inquiries, directing them to the appropriate personnel and ensuring timely responses to client and stakeholder requests.</li><li>Manage office supplies and equipment, ensuring that the workspace is well stocked and that resources are readily available for team members.</li><li>Support project coordination by maintaining timelines, tracking progress, and assisting in the organization of project-related documentation.</li></ul><h3>Requirements</h3><ul><li>Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and comfortable with various office software applications.</li><li>Strong organizational skills with exceptional attention to detail, allowing for the efficient handling of multiple tasks simultaneously.</li><li>Excellent verbal and written communication skills to ensure clarity and professionalism in all interactions.</li><li>Ability to work independently as well as collaboratively within a team environment, adapting to changing priorities as needed.</li><li>Basic financial acumen to assist with budget tracking and expense reporting, ensuring financial documentation is accurate and up-to-date.</li></ul><h3>Nice to have</h3><ul><li>Experience with customer relationship management (CRM) software or project management tools to enhance workflow efficiency.</li><li>Familiarity with office management processes, including digital filing systems and document management.</li><li>A degree in business administration or a related field that can provide a foundation for effective operational support.</li><li>Prior experience in a fast-paced office environment, which can contribute to the adaptability and responsiveness of the role.</li><li>Knowledge of additional languages would be an asset, aiding in communication with diverse clientele and partners.</li></ul><h3>Why join us</h3><p>Joining our team means becoming a part of a supportive and dynamic work environment where your contributions matter. You will have the opportunity to grow your skills and advance your career while working alongside dedicated professionals. We foster a culture of collaboration, innovation, and respect, valuing the input of every team member. This role not only supports the organization's day-to-day functions but also plays a key part in helping us achieve our long-term goals.</p>

Administrative Assistant

Progyny

<div><p>Thank you for considering Progyny!</p><p></p><p>
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.</p><p>
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.</p><p></p><p><b>
What You'll Do...</b></p><ul><li><p>
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.</p></li><li><p>
Lead, develop, and mentor a team of analysts responsible for delivering high-quality analyses, reporting, and analytical solutions to key operational stakeholders.</p></li><li><p>
Build, maintain, and optimize scalable analyses, data models, dashboards, and reporting using SQL, Excel, and modern analytics and visualization tools.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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<b>.</b></p></li></ul><p></p><p><b>
About You...</b></p><ul><li><p>
Bachelor's degree with an analytical focus in healthcare, economics, finance, statistics, data analytics, or a related field.</p></li><li><p>
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.</p></li><li><p>
Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large and complex datasets (30M+ rows).</p></li><li><p>
Experience working with modern data platforms and transformation tools such as AWS, dbt, Databricks, or similar technologies.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Familiarity with healthcare and insurance terminology, provider networks, healthcare operations, and medical or pharmacy claims data.</p></li><li><p>
Demonstrated experience leading, coaching, and developing analysts while establishing priorities, maintaining high standards for analytical quality, and creating an environment of continuous learning.</p></li><li><p>
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.</p></li><li><p>
Ability to partner effectively with Data Engineering and technical teams to define data requirements, improve analytical infrastructure, and develop scalable data and reporting solutions.</p></li><li><p>
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.</p></li><li><p>
Self-motivated and comfortable operating independently, navigating ambiguity, and taking ownership of analytical initiatives from problem definition through implementation.</p></li><li><p>
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.</p></li></ul><p></p><p><b>
Please note: </b>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.
</p><p></p><p><b>About Progyny:</b>
</p><p>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.</p><p></p><p>
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.</p><p></p><p>
Our mission is to empower healthier, supported journeys through transformative fertility, family building and women&rsquo;s health benefits.</p><p></p><p>
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.</p><p></p><p><b>
Our perks:</b>
</p><ul><li><p>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</p></li><li><p>
Menopause and midlife care</p></li><li><p>
Health, dental, vision and life insurance options for employees and family</p></li><li><p>
Free in-person, virtual and text-based mental health and wellness support
</p></li><li><p>Paid time off, including vacation, sick leave, personal days and summer flex time</p></li><li><p>
Company equity</p></li><li><p>
Bonus program</p></li><li><p>
401(k) plan with company match</p></li></ul><ul><li><p>
Access to on-demand legal and financial advice</p></li><li><p>
Learning and development programs to help you grow professionally and a mentorship program</p></li><li><p>
Company social events to include annual volunteer day and donation matching</p></li><li><p>
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office</p></li></ul><p></p><p>
In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is:<b> $130,000 - $145,000.</b> 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.
</p><p></p><p>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.</p><p></p><p>
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.</p><p>
#LI-BG1</p></div>

Manager, Medical Economics & Analytics

Hospice & Palliative Care

<p><br /><strong>Job Overview</strong><br /><br /><br /><br />Job Title: <strong>Virtual Assistant</strong><br /><br />Company: Hospice &amp; Palliative Care<br /><br />Location: <strong>Remote</strong><br /><br />Employment Type: <strong>Full-Time</strong><br /><br />Salary: <strong>$250 - $450 USD per day</strong><br /><br /><br /><br />Hospice &amp; Palliative Care is seeking a compassionate and highly organised <strong>Virtual Assistant</strong> to provide essential administrative support to our dedicated care team. We are deeply honoured to work with outstanding people who are fully committed to meeting the needs of our patients and their families. As a Virtual Assistant, you will play a crucial role in ensuring our operations run smoothly, allowing our clinical staff to focus on what they do best: sharing life’s journey with patients and providing exceptional end-of-life care. This is a unique opportunity to contribute to a meaningful mission within a supportive and connected community.<br /><br /><br /><br /><strong>Responsibilities</strong><br /><br /><br /><br />* Manage calendars, schedule appointments, and coordinate virtual meetings for the care team.<br /><br />* Handle email and phone correspondence with professionalism, empathy, and discretion.<br /><br />* Prepare, format, and edit documents, reports, and presentations.<br /><br />* Maintain confidential records and manage data entry tasks with a high degree of accuracy.<br /><br />* Provide general administrative support, including organising digital files and resources.<br /><br />* Assist in coordinating team projects and tracking progress on key initiatives.<br /><br />* Act as a reliable point of contact for internal team members, ensuring clear and timely communication.<br /><br /><br /><br /><strong>Qualifications</strong><br /><br /><br /><br />* Proven experience as a Virtual Assistant, Administrative Assistant, or in a similar remote support role.<br /><br />* Exceptional organisational, planning, and time-management skills.<br /><br />* Excellent written and verbal communication abilities with a keen eye for detail.<br /><br />* High level of proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and other standard office software.<br /><br />* The ability to handle sensitive and confidential information with the utmost integrity.<br /><br />* A proactive, self-motivated, and resourceful work ethic.<br /><br />* Experience in a healthcare, hospice, or non-profit environment is highly desirable but not essential.<br /><br />* A compassionate and empathetic nature that aligns with our core values.<br /><br /><br /><br /><strong>What We Offer</strong><br /><br /><br /><br />* A competitive daily rate of <strong>$250 - $450 USD</strong>.<br /><br />* The flexibility and convenience of a <strong>fully remote</strong> working arrangement.<br /><br />* The profound opportunity to be part of a mission-driven organisation that makes a real difference in people's lives.<br /><br />* A supportive, collaborative, and caring team environment where your contribution is truly valued.<br /><br /> </p>

Virtual 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.
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  </li>
 </ul>
 <strong>
  Strong candidates may also have
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 </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.
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   <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.
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 <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
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AI Engineer