Staff Product Manager, Model Lifecycle & Management

Pinterest

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. As a Staff Product Manager for the GenAI Safety team within Trust & Safety, you'll define and drive the product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. You'll be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly. This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You'll work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements. What you'll do: * GenAI Safety Strategy: Own and drive the product roadmap for GenAI safety across Pinterest's AI-powered surfaces, including assisted search, content recommendations, automated moderation, and generative content creation tools * Threat Modeling & Red-Teaming: Lead proactive identification of risks, failure modes, and adversarial attack vectors across AI systems - designing structured red-teaming exercises and evaluation frameworks before and after product launches * Policy-to-Product Translation: Partner closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines (e.g., self-harm, misinformation, body image) into precise, buildable product requirements and model guardrails * Cross-Functional Collaboration: Work with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations * Evaluation & Measurement: Define and track quantitative safety metrics - including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction - to ensure AI systems meet safety standards at scale * Incident Response: Develop and maintain AI safety incident runbooks and escalation frameworks, and lead rapid triage and remediation when AI systems produce harmful or unexpected outputs * Emerging Risk Anticipation: Stay ahead of the rapidly evolving AI landscape to identify safety implications of new capabilities (e.g., multi-modal generation, synthetic media, agentic AI) and proactively build extensible safety infrastructure to address unknown future applications * Global & Cultural Sensitivity: Ensure AI safety approaches account for the needs, norms, and contexts of Pinterest's diverse global user base - avoiding one-size-fits-all solutions and centering equity in safety design * User & Employee Wellbeing: Champion the safety and psychological wellbeing of both users who encounter harmful content and internal teams (content reviewers, T&S specialists) who work on the front lines of content safety What we're looking for: * 7+ years of product management experience, with meaningful depth in GenAI/ML, trust & safety, content moderation, or responsible AI * Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF) * Experience with AI ethics frameworks, responsible AI principles, or relevant regulatory landscapes (e.g., NIST AI RMF, EU AI Act) * Demonstrated ability to lead cross-functional teams through ambiguous, high-stakes problem spaces with a bias for action * Proficiency in engaging with research, mapping threat models, validating risks, and translating insights into clear product strategies and roadmaps * Excellent communication skills - the ability to articulate complex technical and ethical trade-offs to non-technical audiences and senior leadership, facilitating clear decision-making * Deep empathy for users and a genuine commitment to making the internet safer * Bachelor's degree in a relevant field such as Computer Science, or equivalent experience   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.   #LI-REMOTE #LI-REX At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695—$339,078 USD Our Commitment to Inclusion: 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.   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.

Mongodb

The IT Go-to-Market organization builds and operates the technology platforms that power Sales, Marketing, and Revenue Operations. These products enable scalable lead generation, pipeline management, deal execution, and revenue insights across the business. As a Staff Product Manager on the IT Go-to-Market (GTM) team, you will own internal technology products that support critical GTM capabilities such as CRM platforms, lead-to-quote workflows, sales productivity tools, and marketing automation systems. You will work closely with Sales, Marketing and RevOps teams to define product strategy, prioritize initiatives, and deliver solutions that improve seller productivity, accelerate deal execution, and enable data-driven decision-making. We are looking to speak to candidates who are based in Palo Alto or San Francisco in our hybrid working model or remotely in the US. RESPONSIBILITIES DOMAIN EXPERTISE * Build AI-powered Customer Success and customer health platforms * Define workflows for customer risk detection, prioritization, and proactive engagement * Integrate Salesforce, telemetry, support, and analytics systems into unified experiences * Drive automation for escalations, ticket creation, customer communications, and operational workflows * Partner with CS teams to improve productivity, adoption, retention, and revenue outcomes * Define requirements for AI agents, health scoring, and telemetry-driven insights * Familiarity with the entire post sales motion  that involves Professional Services, Technical Support and Customer Success * Deep understanding of  User Journey and Workflows for all of the post sales motions. Ideally led large transformations and built custom solutions to meet business needs PRODUCT STRATEGY & VISION * Define and communicate the product vision and roadmap for GTM technology platforms * Translate business strategy and operational needs into scalable product capabilities * Identify opportunities to improve seller productivity, marketing effectiveness, and revenue workflows through technology * Align product strategy with enterprise architecture, security, and platform standards PRODUCT LIFECYCLE OWNERSHIP * Own the end-to-end lifecycle of GTM products from discovery and requirements through delivery and continuous improvement * Develop clear product requirements (PRDs), define success metrics, and track product adoption and impact * Use user feedback and data insights to refine priorities and improve the product experience STAKEHOLDER ENGAGEMENT * Partner with Sales, Marketing, RevOps, Finance, Security, and IT teams to understand pain points and identify opportunities * Represent the voice of the user, ensuring solutions address real operational challenges * Communicate priorities, trade-offs, timelines, and progress clearly to stakeholders and leadership * Build strong partnerships with engineering teams, architects, and external vendors ROADMAP & DELIVERY * Own and maintain the product backlog and roadmap, prioritizing work based on business impact and technical feasibility * Collaborate closely with engineering teams in an Agile environment to plan and deliver product releases * Balance new feature development with platform improvements and technical debt * Ensure smooth product delivery by managing cross-team dependencies and aligning stakeholders ADOPTION & CHANGE MANAGEMENT * Partner with enablement and change management teams to drive adoption of new GTM capabilities * Communicate product changes and new features across impacted teams * Monitor KPIs and support incident or problem management when issues arise REQUIREMENTS * 10+ years of Product Management experience in enterprise SaaS or cloud platforms * Strong domain expertise in Customer Success, Customer Support, or Post-Sales operations * Experience building custom workflow applications, automation platforms, or AI-powered tools * Deep knowledge of Salesforce CRM and customer lifecycle processes * Experience working with telemetry, analytics, and customer health data * Ability to partner effectively with engineering, operations, and business stakeholders * Familiarity with AI-enabled GTM workflows or automation tools * Experience using product metrics and analytics to guide decisions * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req. ID: 2273461345 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $164,000—$323,000 USD

Databricks

RDQ427R276 Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production. The impact you will have: * You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production. * You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale. * You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems. * You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI. * You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. * You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture. * You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them. What we look for: * 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services. * Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers. * Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus. * Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $181,700—$249,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.