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senior product 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

Youtube

<div>This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>10 years of experience in advertising, marketing technology, management consulting, or product management. 
</li>
<li>2 years of experience managing individuals and leading cross-functional teams. 
</li>
<li>Experience leading operational initiatives.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience in Google&rsquo;s ad solutions and value proposition in the market, and creative ads products and generative AI.</li>
<li>Ability to manage multiple projects and stakeholders, as well as influence and drive results without official authority.</li>
<li>Ability to operate and drive clarity in a fast moving and ambiguous space, and to navigate large complicated organizations.</li>
<li>Ability to influence product leadership through development of strategic programming and event execution that focuses on showcasing strategic priorities and key pain points.</li>
<li>Excellent problem solving and analytical skills, with the ability to provide data driven insights to shape strategy and key decisions.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
This role sits in the YouTube Ads GTM team with a mission to fuel innovation that keeps YouTube and Video free and accessible to the world by effectively monetizing YouTube with advertisers. The Creative team's mission is to accelerate advertisers and partners' ability to create more effective ads that will drive their business objectives and grow Google/YouTube investment. The team plays a vital role in empowering advertisers and partners with the creative solutions and resources they need to be set up for success across the Ads platforms.
As the Senior Manager, you will lead a team focused on first-party creative products for the YouTube and Video ad solutions while also driving cross-GPS creative efforts to ensure a cohesive customer experience. In this role, you will work collaboratively with stakeholders across GPS, Product, Marketing, gTech, GTM, and Sales to ensure Creative offerings meet the needs of our advertisers while also driving commercialization strategy and execution globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $186000 - $270000 (USD) + 20% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner with Product and Engineering to shape the roadmap for emerging creative solutions, vetting product-market fit and ensuring alignment with YouTube Ads' strategic goals.</li>
<li>Build strategic business cases for innovations by leveraging customer needs and market trends to prioritize features that solve real-world advertiser pain points.</li>
<li>Lead go-to-market strategy for YouTube/Google Creatives, managing early-stage pilots and translating complex features into clear business motions that empower global teams.</li>
<li>Serve as the primary market feedback channel, leading test and learn incubation phases and synthesizing data from pilots to iterate before global scaling.</li>
<li>Lead high-performing ICs and orchestrate alignment across Sales, Marketing, Legal, and PR to ensure a unified approach to launching new creator solutions.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Manager, Creative Solutions, YouTube Ads GTM

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

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

Stitch Fix

<div><div><h3 class="jobSectionHeader">About Stitch Fix, Inc.
</h3>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</div> 

<h1 class="jobSectionHeader">
About the Role</h1>

The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.

As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Lead the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li>Define the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li>Drive innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li>Strengthen organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li>Build and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader">How AI and Tools Show Up in Your Day-to-Day Work</h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader">About You</h1>

You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.
<h2 class="jobSectionHeader">
Requirements</h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div>
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</div></div>

Director, Data Science & Algorithms - CX Product Experiences

TEEMA

<div>The role of the Account Manager is to generate quality revenue in the form of qualified new patient starts.
Essential Functions and Duties<ul><li>
Promoting and selling Nufactor Specialty Pharmacy service offering to referring entities, primarily in the physician office setting.</li><li>
Generate patient referrals for the purpose of generating positive revenues for any Nufactor product offerings, primarily immune globulin and infliximab therapies.</li><li>
Conducts sales presentations and meetings in physician offices.</li><li>
Develops and implements territory strategies in conjunction with RVP of
Sales and other team members.</li><li>
Act as a liaison between healthcare provider and Nufactor to improve,
expedite, and facilitate patient safety and quality of care.</li><li>
Maintains up to date territory workbook.</li><li>
Effectively manages all internal and external communications.</li><li>
Maintain and enhance existing business relationships while identifying
and developing new business opportunities for Nufactor&reg;
Enterprises, Inc.</li><li>
Attends local, regional and national events and tradeshows, as assigned.</li></ul><ul><li>
Gathers and disseminates new industry intelligence to the team.</li><li>
Continuously strive to improve processes, service quality to internal and
external customers.</li><li>
Adheres specifically to all company policies and procedures, Federal and
State regulations and laws.</li><li>
Displays dedication to position responsibilities and achieve assigned goals
and objectives.</li><li>
Represents the Company in a professional manner and appearance at all</li></ul>
Account Manager Sales<ul><li> 
Understands and carries out the Company&rsquo;s purpose and its organizational values.</li><li>
Displays enthusiasm and dedication to learning how to be more effective on the job and share knowledge with others.</li><li>
Works effectively with co-workers, internal and external customers and others by sharing ideas in a constructive and positive manner; listens to and objectively consider ideas and suggestions from others; keeps commitments; keeps others informed of work progress, timetables, and issues; addresses problems and issues constructively to find mutually acceptable and practical business solutions; addresses others by name, title, or other respectful identifier, and; respects the diversity of our work force in actions, words, and deeds.</li><li>
Complies with the policies and procedures stated in the Injury and Illness Prevention Program by always working in a safe manner and immediately reporting any injury, safety hazard, or program violation.</li><li>
Ensures conduct is consistent with all Compliance Program Policies and procedures when engaging in any activity on behalf of the company. Immediately report any concerns or violations.</li><li>
Other duties as assigned.
Education, Knowledge, Skills and Experience
Required Education:</li><li>High School diploma or equivalent; Bachelor&rsquo;s Degree preferred.</li></ul>
Required Knowledge:<ul><li>Excellent understanding of chronic health challenges such as Primary Immune Deficiency, Chronic Inflammatory Demyeliating Polyneuropathy and all other disease states treated with IG including Hemophilia.</li></ul>
Preferred Knowledge:<ul><li>Excellent understanding of chronic health challenges in conditions Nufactor product offering treats.</li></ul>
Required Experience:<ul><li>Must have at least five (5) years&rsquo; experience in relative health care industry including management, sales, clinic services, or customer service</li></ul>
Preferred Experience:<ul><li>Three (3) to five (5) years&rsquo; experience in similar chronic disorders is preferred.</li></ul> 

#Workwolf</div>

Pharmaceutical (Infusion) Sales Executive

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

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