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Pinterest

<div><div>About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</div>
Pinterest is seeking an experienced Staff Data Scientist to join our Finance &amp; Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption &mdash; and the person in it is expected to operate across all three.

The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day.

This is a high-autonomy, high-trust individual-contributor role with broad cross-functional reach. 


What you'll do:
<ul>
<li>Own forecasting tooling end to end. Build and maintain the team's primary forecasting workbench &mdash; from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts. This spans baseline vs. adjusted forecast modeling, scenario/delta workflows, backtesting, and diagnostics (year-over-year and month-over-month seasonality, engagement rates, and similar).</li>
<li>Ship product, not just analysis. Design and build user-facing features: chart and visualization work, guided onboarding, history/audit views, region and time-grain filtering, performance optimization, and the kind of polish and bug-fixing that makes an internal tool feel like a real product. Instrument usage (collect and analyze raw logs) and let adoption data drive the roadmap.</li>
<li>Drive AI adoption across Finance &amp; BizOps. Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users. Bring structured business cases (not wishlists) to platform/IT partners, pilot new capabilities, and write the enablement material &mdash; walkthroughs, documentation, &quot;where to get started&quot; guidance &mdash; that gets non-technical teams productive.</li>
<li>Stay ahead of the AI capability curve. A significant part of this role is forward-looking: continuously read and interpret AI research (papers, model and tooling releases) and translate it into a grounded point of view on what will be possible in the next 6&ndash;12 months. Track the engineering roadmap closely, understand what platform capabilities are landing and when, and connect those dots to concrete opportunities for the CFO org &mdash; so the team builds for where AI is going, not just where it is today.</li>
<li>Set AI strategy and guide executives. Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritize where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on. Communicate complex AI and technical trade-offs in plain, decision-ready terms, and act as a trusted technical advisor in executive conversations.</li>
<li>Deliver recurring finance analytics. Support core CFO-org deliverables: budget-vs-actuals (BVAs), variance commentary, executive slide/deck preparation, and metric diagnostics (e.g., MAU and revenue diagnostics), including catching and resolving data-quality issues.</li>
<li>Partner broadly and communicate clearly. Work directly with Finance, BizOps, Monetization, and platform/IT stakeholders. Translate ambiguous business questions into tooling and analysis, post clear release notes and stakeholder updates, and run live walkthroughs and training sessions.</li>
<li>Set technical and analytical standards. raise the bar on rigor (validation, backtesting, sound metric definitions), make pragmatic build-vs-buy and scope calls, and create artifacts and documentation durable enough to outlive any single contributor.</li></ul> 
 
What we're looking for:
<ul>
<li>Data science &amp; forecasting</li>
<li>Strong applied background in time-series forecasting and quantitative analysis: baseline construction, scenario/adjustment modeling, backtesting and forecast-accuracy evaluation, and seasonality analysis (y/y, m/m).</li>
<li>Fluency in turning messy business questions into well-defined metrics and diagnostics; rigorous about metric definitions, data quality, and validation.</li>
<li>Advanced SQL and proficiency in a primary analysis language (Python strongly preferred); comfort working directly with data warehouses and large datasets.</li>
<li>Engineering &amp; tool-building</li>
<li>Demonstrated ability to build and ship internal web tools, not just notebooks or one-off analyses &mdash; meaningful front-end / full-stack capability (e.g., JavaScript/TypeScript, modern UI frameworks, interactive data visualization).</li>
<li>Practical product-engineering instincts: UX/usability sense, performance debugging and optimization, handling state/data edge cases, and disciplined release hygiene (testing, build/lint, changelogs).</li>
<li>Experience building dashboards and self-serve analytics (e.g., Superset, Tableau, Looker, or equivalent).</li>
<li>Applied AI</li>
<li>Hands-on experience applying modern AI/LLM tooling to real workflows &mdash; prototyping with AI assistants, agentic/MCP-style tooling, or internal AI platforms &mdash; and a track record of moving from experiment to adopted tool.</li>
<li>Ability to build the business case for AI investment and to drive adoption with non-technical users (enablement, documentation, training).</li>
<li>AI foresight &amp; strategy (critical)</li>
<li>Demonstrated habit of staying current with AI research and the broader landscape: able to read papers and model/tooling release notes and form a credible, independent view of what will be feasible 6&ndash;12 months out.</li>
<li>Able to interpret an engineering roadmap and reconcile it with where the technology is heading &mdash; translating both into a concrete capability plan for the business.</li>
<li>Strong product/business strategy instincts: prioritizing AI investments, sequencing bets, and distinguishing durable capability from hype.</li>
<li>Executive influence</li>
<li>Proven ability to advise and guide senior leaders and executives on technical and AI strategy, and to make complex trade-offs legible to a non-technical executive audience.</li>
<li>Comfortable being the trusted technical voice in the room &mdash; framing decisions, managing expectations, and earning credibility with both finance leadership and engineering/platform partners.</li>
<li>Scope, ownership &amp; communication</li>
<li>Staff-level autonomy: can independently scope, prioritize, and deliver multi-month efforts with minimal direction, and make sound trade-off calls.</li>
<li>Excellent written and verbal communication; can write for executives and for end users, and can run live training and walkthroughs.</li>
<li>Strong cross-functional collaboration across finance, operations, and technical/platform partners.</li>
<li>Experience</li>
<li>Minimum of 8 years of relevant experience in data science, analytics engineering, or applied ML.</li>
<li>Bachelor's degree in a quantitative field (e.g., statistics, computer science, economics, engineering, math) or equivalent practical experience; advanced degree is a plus.</li></ul> 


Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li></ul> 


In-Office Requirement Statement:
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration1-2 times every 6-months and therefore can be situated anywhere in the country.</li> 
</ul>
#LI-NM4

#LI-REMOTE<div>
Our Commitment to Inclusion:
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div>
<div></div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div></div>

Staff Data Scientist, Finance & Business Ops

LiteLLM

<div><h1 class="jobSectionHeader">Technical Product Manager</h1>
LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications&mdash;and now we're building our second product.
We're looking for a Technical Product Manager who wants to work directly with the founders to figure out what developers need, ship quickly, and build products that thousands of engineering teams use every day.<h2 class="jobSectionHeader"> 
About the Role</h2>
This isn't a traditional product management role, and it isn't a traditional software engineering role.
NOTE: You will spend 50% of your time coding, and 50% of your time talking to users.
You'll spend your time talking to customers, understanding their problems, designing solutions, writing production code, and shipping features. One week you might build a new authentication flow, the next week you're redesigning an onboarding experience, integrating with a new provider, or launching an entirely new product.
If you enjoy owning a problem end-to-end&mdash;from idea to production&mdash;you'll thrive here.<h2 class="jobSectionHeader"> 
Responsibilities</h2><ul><li>
Build new product features from concept to production.</li><li>
Work directly with customers to understand pain points and validate solutions.</li><li>
Ship quickly while maintaining a high quality bar.</li><li>
Prototype new ideas and iterate based on user feedback.</li><li>
Own major product areas and continuously improve them over time.</li><li>
Design backend APIs and services using Python and FastAPI.</li><li>
Build intuitive developer experiences across our API, dashboard, and CLI.</li><li>
Collaborate directly with the founders on product direction and technical decisions.</li><li>
Help define and build LiteLLM's second major product.</li></ul><h2 class="jobSectionHeader"> 
What We're Looking For</h2><ul><li>
Bachelor's or Master's degree in Computer Science or a related field.</li><li>
Experience as a product manager or associate product manager at a company</li><li>
Strong software engineering fundamentals.</li><li>
Experience building production software, preferably with Python.</li><li>
Comfortable moving across the stack when needed (backend, frontend, infrastructure, APIs).</li><li>
Strong product intuition and curiosity about how customers use software.</li><li>
Excellent written and verbal communication.</li><li>
High ownership&mdash;you naturally identify problems and solve them without waiting to be asked.</li><li>
Comfortable operating in ambiguity and making decisions with incomplete information.</li><li>
Excited by shipping quickly and learning from real users.</li></ul><h2 class="jobSectionHeader"> 
Bonus Points</h2><ul><li>
Experience at an early-stage startup.</li><li>
Experience building developer tools or infrastructure products.</li><li>
Open source contributions.</li><li>
You've built and launched your own product.</li><li>
Familiarity with AI infrastructure, LLMs, or developer platforms.</li></ul><h2 class="jobSectionHeader"> 
Why Join LiteLLM?</h2><ul><li>
Work directly with the founders every day.</li><li>
Build products used by thousands of engineering teams around the world.</li><li>
Own meaningful product decisions&mdash;not just implementation.</li><li>
Move incredibly fast and see your work in production immediately.</li><li>
Help define the future of AI infrastructure and developer tooling.</li><li>
Competitive salary, equity, health, dental, and vision benefits.</li></ul><h2 class="jobSectionHeader"> 
About LiteLLM</h2>
LiteLLM is the world's most widely adopted AI Gateway. We provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems. Thousands of companies rely on LiteLLM to power AI in production.
If you love talking to users, building products, and shipping software that people actually use, we'd love to meet you.
Compensation Range: $200K - $260K</div>

Technical Product Manager

Ware Malcomb

<div><div>Are you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design, seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. https://waremalcomb.com/life-at-ware-malcomb/</div>
<div></div>
<div>As a Senior Project Manager at Ware Malcomb, you will deliver innovative interior design projects from initial concept to construction. You will lead internal and external teams, be financially responsible for projects by adhering to budgets and workplans and oversee the development of contract documents. As the primary client contact, your leadership and exceptional client service ensures project success.</div>
<h3 class="jobSectionHeader">Your Role</h3><ul>
<li>Responsible for the management projects from start to finish, you are the project leader.</li>
<li>Utilize the company's resource groups for design, preparation of design and construction documents.</li>
<li>Provide construction services (Site visits, review shop drawings, etc.)</li>
<li>Be the key contact with the client, and their consultants and representatives.</li>
<li>Responsible for local, county, state and federal project code searches and analysis for each project.</li>
<li>Responsible for the financial success of all responsible projects.</li>
</ul><ul><li>Be a technical resource (Codes and construction) to other Ware Malcomb PM/PAs.</li>
<li>Communicate with clients, brokers, contractors, consultants, and team members.</li>
<li>Mentor, train, and lead assigned team members.</li>
<li>Create and lead a positive, team-oriented environment.</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3><ul>
<li>10+ years of experience managing corporate, workplace, retail and/or commercial interior design projects</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Architecture, or related field</li>
<li>Licensed Architect or in the licensure process required</li>
<li>AutoCAD and Revit skills</li>
<li>Knowledge of Microsoft Project, Word, Excel, and Newforma</li>
<li>Thorough knowledge of building codes</li>
<li>Excellent verbal and written communication skills.</li>
<li>Ability to coordinate a complete set of contract documents</li>
</ul><div>Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, interior design, civil engineering, branding, building measurement, structural engineering and MEP engineering services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science &amp; technology, healthcare, multifamily, retail, hospitality and public/institutional projects.
</div>
<div></div><div>The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record&rsquo;s Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine&rsquo;s Top 100 Giants. For more information, visit waremalcomb.com.</div></div>

Senior Project Manager, Interior Architecture & Design

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures, QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
We&rsquo;re hiring an Engineering Manager to build and evolve the core product experiences that power Collective&rsquo;s member platform. This is an engineering leadership role with high ownership across Product, Design, and Operations to lead the teams to ship fast and iterate based on real customer needs. You&rsquo;ll be expected to encourage the use of modern AI tools and agent-based workflows to accelerate development, improve code quality, and unlock new product capabilities.
What you'll do:<ul><li>
 Act as a player-coach, balancing hands-on technical contribution and people leadership</li><li>
Lead, mentor, and grow IC&rsquo;s, fostering a culture of high-performance and empathy.</li><li>
Work with teams of talented engineers, product managers, and designers to deliver a robust platform.</li><li>
Define, own, and ensure the timely delivery of complex, multi-disciplinary, and highly visible engineering projects.</li><li>
Drive clarity about architecture, design, and product decisions across teams, utilizing full-stack capability (e.g., Python/Django backend, React frontend).</li><li>
Manage team processes and interface effectively with non-technical stakeholders, including Operations teams.</li><li>
Contribute to engineering-wide initiatives and drive conversations from engineering teams to executive leadership.</li></ul>
What you'll bring:<ul><li>
 8-10+ years of software engineering experience, including at least 2+ years of management experience.</li><li>
Technical depth to drive end-to-end systems ownership, including architecture, design, and data modeling.</li><li>
Demonstrated success in operating as a player-coach, maintaining hands-on technical proficiency.</li><li>
Experience managing a team that has delivered a great product with solid foundations.</li><li>
Organizational leadership experience, including experience collaborating with non-technical stakeholders and weighing tradeoffs.</li><li>
A track record of encouraging a healthy work environment that is both supportive and challenging.</li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $220K - $260K</div>

Engineering Manager/Senior Manager

Warner Bros. Discovery

<div>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
Who We Are&hellip;
When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
At HBO Max, storytelling takes center stage. We&rsquo;re one of the world&rsquo;s most iconic entertainment brands &mdash; home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what&rsquo;s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally&mdash; and we&rsquo;re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career&mdash; we&rsquo;re hiring!
Your New Role...
We are seeking a highly skilled and motivated Staff Product Manager to join our team and lead the development and enhancement of our personalization services. As a Staff Product Manager, you will play a pivotal role in defining the product strategy, driving innovation, and delivering exceptional user experiences. Your expertise and leadership will guide the direction of personalized and automate recommendations, ensuring they remain at the forefront of industry trends and customer expectations.
Your efforts will help us scale to &gt;100m customers and become the leading streaming company. You will identify and quantify customer problems, determine approaches to address them, and A/B test different features to solve them. You will be part of a team of Product Managers focused on Personalization, working closely with Software Engineers and Data Scientists.
The team has a diverse range of skill sets, experience in Machine Learning, Recommenders, related fields across streaming media, e-commerce, and from top-flight tech firms. You will partner with Editorial and Marketing professionals and discuss your efforts regularly with company executives.
Your Role Accountabilities...
We&rsquo;re seeking a seasoned Staff Product Manager to lead personalization efforts at WBD. This role is central to our mission to create intelligent, adaptive, and trusted experiences across HBO Max. The ideal candidate has deep experience with ML-driven recommendation at scale, thrives in technically complex ecosystems, and is equally fluent in data science, user behavior, and business impact.
As a key contributor for personalization at WBD, you will:<ul><li>
Define Strategy: Own the end-to-end product strategy for ML-powered personalization and discovery. Identify opportunities that align with WBD&rsquo;s strategic goals and improve engagement, retention, and viewer satisfaction.</li><li>
Drive Roadmap: Lead roadmap development for personalization systems, coordinating closely with engineering, data science, UX, and content teams to prioritize initiatives that balance innovation, quality, and speed.</li><li>
Evolve the User Experience: Champion customer-centricity by leveraging experimentation, user research, and behavioral data to design and optimize personalized experiences across surfaces.</li><li>
Orchestrate Systems Thinking: Manage complex ranking systems and feedback loops. Understand how data (user signals, content metadata) flows through algorithms and influences outcomes across product surfaces.</li><li>
Stakeholder Leadership: Partner with executives, engineering leaders, data teams, and content strategists to align roadmaps, communicate outcomes, and translate vision into action.</li><li>
Benchmark and Differentiate: Monitor trends in personalization, ML tooling, and competitors&rsquo; discovery experiences to inform roadmap priorities and strategic pivots.</li><li>
Measure Impact: Define KPIs that align with both user value and business metrics (e.g., engagement, diversity, and relevance). Use experimentation and analytics to optimize performance and guide iteration.</li><li>
Launch &amp; Iterate: Lead go-to-market for major personalization capabilities, ensuring internal readiness, high-quality rollout, and learning-based iteration cycles.</li></ul>
Qualifications &amp; Experience...<ul><li>
8+ years of product management experience, with significant time spent on ML-driven products or content discovery systems.</li><li>
Proven track record of shipping consumer-facing personalization or recommendation systems at scale.</li><li>
Strong technical fluency&mdash;able to engage meaningfully with engineering and data science on ranking models, data pipelines, and ML evaluation.</li><li>
Deep understanding of A/B testing methodologies, statistical analysis, and product experimentation frameworks.</li><li>
Systems thinker who can connect the dots between algorithmic performance, customer experience treatments, and business outcomes.</li><li>
Excellent communicator who can synthesize complexity for a range of audiences, from executives to junior engineers.</li><li>
Experience leading cross-functional teams in agile environments; familiarity with tools like Jira and Confluence.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).</li></ul>
How We Get Things Done&hellip;
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $147,000.00 - $273,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
If you&rsquo;re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</div>

Staff Product Manager - Personalization & Recommendations

MERCOR

<div><h2 class="jobSectionHeader">About Mercor</h2>
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role:
Mercor&rsquo;s Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You&rsquo;ll be the connective tissue across data engineering, analytics, and cross-functional stakeholders, ensuring every project is delivered on time, within budget, and at the level of quality our clients and internal teams expect.
What You&rsquo;ll Do:<ul><li>
Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff.</li><li>
Take direct responsibility for the successful execution of projects, including meeting project goals, client/stakeholder service, quality of work, resource utilization, and profitability.</li><li>
Lead, motivate, and build a strong team environment for project contributors, inspiring a shared vision, enabling others to act, and taking ownership of team outcomes.</li><li>
Partner with team leads to vet, scope, and kick off assignments, and own all due dates and milestones.</li><li>
Develop and maintain accurate project documentation, including timelines, budgets, and scoping documents.</li><li>
Lead communications and change management across the project lifecycle, from kickoff briefings for stakeholders through end-user notifications ahead of launches, ensuring the right people have the right information at the right time.</li><li>
Serve as the primary coordination point across functional teams (Data Engineering, Analytics, Legal, Finance, etc.), aligning workstreams and driving decisions and accountability against timelines.</li><li>
Anticipate and manage the downstream implications of project decisions before they create risk; proactively surface dependencies, resolve blockers, and escalate when needed.</li><li>
Build and continuously improve the infrastructure that makes data project delivery scalable: intake forms, templates, checklists, SOPs/playbooks, and retrospectives that feed into process improvement.</li><li>
Manage relationships with key stakeholders to promote trust and future opportunities.</li></ul>
Knowledge, Skills, &amp; Abilities:<ul><li>
Excellent leadership, communication, and stakeholder management skills.</li><li>
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).</li><li>
Superb attention to detail, sound judgment, and strong listening skills.</li><li>
Comfortable driving process improvement and proposing more efficient ways of working.</li><li>
Passion for data-driven products and cross-functional collaboration.</li></ul>
Minimum Qualifications:<ul><li>
3-5+ years of project management experience or related experience.</li><li>
Bachelor&rsquo;s degree or equivalent experience in a related field.</li></ul>
Preferred Qualifications:<ul><li>
Proven track record managing large, cross-functional data or technical projects.</li><li>
Experience managing a high volume of projects in parallel.</li><li>
Experience with data, engineering, or analytics project types.Benefits</li></ul><ul><li>
Bi-annual performance bonus structure</li><li>
Generous equity grant vested over 4 years</li><li>
Up to $15k Relocation bonus</li><li>
$10K housing bonus (if you live within 0.5 miles of our office)</li><li>
$1.5K monthly stipend for meals</li><li>
Free Equinox membership</li><li>
$200 monthly laundry reimbursement</li><li>
$200 monthly personal wellness reimbursement</li><li>
Health, Dental, Vision insurance</li></ul>
Compensation Range: $130K - $180K</div>

Project Manager, Data Team

FRONT

<div>Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune&rsquo;s Best Workplaces in the Bay Area ,Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.
AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale.
What will you be doing?<ul><li>
Design, develop, and deploy generative AI applications using NodeJS &amp; TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries.</li><li>
Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities.</li><li>
Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends.</li><li>
Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency.</li><li>
Dive deep into real-world data, ensuring high-quality model training and iteration</li><li>
Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards.</li><li>
Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate.</li></ul>
What skills and experience do you need?
Must Have:<ul><li>
5+ years of experience in software development, with a strong focus on AI and machine learning projects.</li><li>
Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies.</li><li>
Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred.</li><li>
High learning agility - you&rsquo;re excited when you encounter a problem you haven&rsquo;t seen before.</li><li>
Strong communication skills that illustrate a clear, structured thought process.</li></ul>
Should Have:<ul><li>
Excellent problem-solving abilities and the capacity to work both independently and as part of a team.</li><li>
Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc.</li><li>
Strong communication skills, capable of explaining complex technical concepts to non-experts.</li><li>
Deep knowledge of algorithms, data structures, and principles of software engineering.</li></ul>
Nice to Have:<ul><li>
Knowledge in specialized machine learning areas (deep learning, reinforcement learning).</li><li>
Experience in SaaS or multiplayer application machine learning implementations.</li></ul>
Front operates on a hybrid model &mdash; we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.
What we offer<ul><li>
Competitive salary</li><li>
Equity (we are post-series D &amp; backed by some of the best VCs in the US)</li><li>
Private health insurance, including plan options at no cost to employees</li><li>
Paid parental leave</li><li>
Flexible time off policy</li><li>
Flexibility to work from home Monday and Friday, unless posted as a fully remote role</li><li>
Mental health support with Workplace Options</li><li>
Family planning support with Maven</li><li>
$100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities</li><li>
Wellness Days - Fronteers get an additional day off on months with no holidays</li><li>
Winter Break - Our offices are closed from Christmas to New Year's Day!</li></ul>
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice &amp; EU Privacy Notice
Compensation Range: $205K - $238K</div>

Senior Applied AI Engineer

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