This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're looking for a Product Manager - Agent AI to own the vision, strategy, and delivery of a new agentic AI product that transforms how multifamily operators work. You'll go deep with customers to map their workflows, identify where autonomous agents can eliminate friction and act on their behalf, and define the roadmap to bring those capabilities to market. Partnering closely with engineering, design, analytics, and data science, you'll move from discovery through delivery, validating ideas through rapid experimentation, defining agent behaviors and trust boundaries, and shipping products grounded in real operator outcomes, not AI hype. Responsibilities - Lead end-to-end product development from discovery to launch for AI-powered and agent-driven experiences - Conduct market research, competitor analysis, and customer discovery to identify where intelligent automation can create outsized value for multifamily operators - Partner with engineering, design, and data science teams to rapidly develop and iterate on products - Define success metrics oriented around real operator outcomes - Own the product backlog and make data-driven prioritization decisions to maximize impact - Engage deeply with customers to understand their workflows, pain points, and comfort levels with AI-driven automation - Collaborate with marketing and sales on positioning, field enablement, and go-to-market strategy - Drive alignment across stakeholders and leadership, making clear tradeoff recommendations and building consensus around product direction Qualifications - 1–2 years of hands-on experience building or shipping AI-powered products - Demonstrated experience working with LLM-based features, agent frameworks, and autonomous workflows in a product context - Experience identifying and prioritizing AI use cases based on ROI and customer impact - Strong problem-solving skills with the ability to translate fast-moving AI capabilities into clear product plans and customer-facing value - Excellent communication skills with a proven ability to bridge technical and non-technical audiences - Analytical and data-driven approach to prioritization - Organized and detail-oriented with project management experience - Genuine curiosity about how AI agents can transform real operator workflows What Success Looks Like - Deep customer empathy: You stay close to customers and build real relationships, not just collect feedback. - Extreme ownership: You own the outcome end to end. Details do not slip, risks are surfaced early, and when something breaks you take accountability fast. - Bias for speed and action: Velocity is your north star. You make fast, sound calls, ship the smallest thing that proves value, then iterate based on what users actually do. - Obsession with quality and details: You have strong product taste and a high bar. - Decisive judgment: You can operate in ambiguity and make hard tradeoffs without dragging the team through endless debate. - Relentless drive: You push through blockers and find paths forward. Benefits - Remote-First: Freedom to work from home across most of the U.S. - Competitive Compensation: Competitive salary that reflects your impact and expertise. - Paid Time Off: Flexible vacation policy and dedicated paid parental leave. - Your Health Matters: High-quality Medical, Dental, and Vision insurance plans. - Peace of Mind (On Us): 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance. - Protection for Your Whole Crew: Access supplemental insurance for unexpected events. - Invest in Your Future: 401k Program to help you build for the long term.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a passionate and strategic Senior Product Manager, Growth - Performance Marketing to lead one of our most important acquisition channels on the Growth team. Each month, the Growth team helps over 600M people around the world find their inspiration on Pinterest. You’ll fully own the vision, strategy and execution for Pinterest’s paid growth channels, driving efficient and scalable user acquisition. Reporting to the Group Product Manager (Growth Acquisition), you’ll lead high-impact initiatives from ideation through delivery. You’ll partner closely with Engineering, Data Science and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners. You’ll tackle challenging, complex problems at scale and your work will help bring the inspiration and joy of Pinterest to more people around the world, more efficiently than ever before. What you’ll do: - Lead the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels. - Drive clarity, alignment, and prioritization across a broad cross‑functional team in an ambiguous, complex product area with substantial impact on top‑line growth. - Influence senior stakeholders and contribute to long-term strategy for acquisition. - Partner closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing. - Leverage strong analytical skills to dig into data, identify the highest‑impact opportunities in the paid marketing lifecycle, and help the organization make better, faster, and more confident investment decisions. Qualifications - Demonstrated success in product management at fast-growing companies. - Strong technical background (or prior work experience as a software engineer/data scientist) that lets you dive deep into data and complex technical problems alongside your engineering team. - Working knowledge of performance marketing mechanics (e.g., attribution, incrementality testing, bidding and budgeting, targeting, and funnel measurement). - Strong analytical skills to define product strategy and drive decision making. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Prior experience with machine learning, recommendation systems, or generative AI a plus. - Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience. Requirements - This position is not eligible for relocation assistance. - 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. Benefits - Visit our PinFlex page to learn more about our working model.

• Drive the strategic direction, positioning, and execution of Goodyear & Bridgestone associate dealer programs to reinforce brand consistency and marketplace differentiation. • Provide category‑level expertise across the wholesale channel, ensuring the Goodyear & Bridgestone value proposition is clearly communicated and consistently delivered. • Develop and refine brand strategy, positioning, and value proposition, including brand architecture decisions – and translate business objectives into brand-building programs. • Serve as the internal champion of the brand, educating teams and reinforcing brand standards. • Build, strengthen, and manage relationships with key vendors, manufacturers, and third‑party service providers to support program execution, product availability, merchandising, and promotional initiatives. • Lead vendor relations by setting performance expectations and ensuring alignment with Goodyear & Bridgestone brand standards and program requirements. • Collaborate with manufacturing partners to optimize assortments, improve supply continuity, and enhance program competitiveness. • Develop and manage channel‑specific two‑step retailer programs, including assortment planning, merchandising strategies, promotional calendars, distributor/retailer scorecards, and third‑party provider integration. • Conduct or oversee market and customer to inform brand strategy, messaging and product positioning. • Identify opportunities for continuous improvement across programs, processes, and partner engagement. • Define KPIs for brand health, awareness, perception, and engagement. • Oversee program budgets, timelines, and operational activities to ensure efficient execution and strong ROI. • Lead training and capability-building initiatives for Goodyear & Bridgestone associates and customer teams to ensure strong program knowledge and execution excellence.

Highlights - Location: Georgia, Remote - Stock options - Languages: Fluent in English and Russian. About Fundraise Up Fundraise Up is a global fundraising platform built to help nonprofits raise more by delivering fast, seamless, and high-converting donation experiences. Our technology powers tens of millions of dollars in donations every month for organizations across North America, Europe, the UK, and Australia — including some of the world's most impactful nonprofits. We are known for product quality, performance, and a deep respect for both donors and nonprofit operators. As we scale our core platform, we are also deliberately investing in high-risk, high-upside product bets that could define the future of digital fundraising. That's where the Lab comes in. About the Role Fundraise Up is at a stage where scaling the core is no longer enough. We need a systematic way to explore what's next — new capabilities, new categories, and new ways technology can reshape fundraising. The Lab exists to do exactly that. As a Product Manager, Lab, you will explore, validate, and de-risk bold, high-uncertainty product opportunities — many of which do not look like an obvious extension of what Fundraise Up does today. Your job is to reduce uncertainty, not to ship features. You will own ideas end-to-end: from early exploration and hypothesis framing, through fast experiments and pilots, to explicit investment decisions — scale, pivot, or kill. Most ideas should be killed early. A small number may graduate into New Markets or Core teams with strong evidence behind them. Success in this role is measured by learning speed and decision quality, not by output volume or adoption metrics What You'll Do Explore High-Risk, Technology-Driven Opportunities - Identify opportunities emerging from new technologies, AI, data, platform capabilities, or infrastructure shifts - Translate weak signals and technical possibilities into clear product hypotheses - Explore ideas before there is a clear buyer, category, or demand signal - Maintain an exploration backlog with risks, assumptions, and learning goals Design Experiments & Define Kill Criteria - Frame experiments around the single riskiest assumption - Define explicit kill criteria before building anything - Choose the right fidelity: prototype, technical spike, wizard-of-oz, or live pilot - Build just enough to learn — never more Run Fast Experiments & Pilots - Execute scrappy prototypes, MVPs, and pilots with minimal scope - Work closely with Engineering, Design, Data, and GTM during experiments - Ruthlessly protect learning speed and avoid premature optimization Make Clear Investment Decisions - Synthesize results into opinionated recommendations: Scale / Iterate / Kill - Clearly communicate what was tested, what was learned, and what remains unknown - Avoid zombie initiatives — every experiment must end with a decision - Kill your own ideas quickly when evidence is weak Prepare Clean Escalation & Handoffs When an opportunity shows strong signal, prepare it for handoff with: - Validated value and problem hypotheses - Evidence from experiments or pilots - Clear risks, assumptions, and success metrics - A proposed ownership and scaling model Transfer ownership fully — the Lab does not run scaled products. Operate Transparently & Share Learnings - Maintain a visible Lab portfolio: what's being explored, why, and what the signals say - Publish decision memos and learning summaries - Share failed experiments openly when the learning is clear Leverage AI to Accelerate Learning - Use modern AI tools to speed up research, synthesis, prototyping, and experimentation - Explore AI-enabled product ideas with a realistic lens: cost, latency, data, accuracy - Distinguish hype from actual capability shifts - Help others understand when AI meaningfully accelerates learning — and when it doesn't Launch High-Risk, High-Signal Initiatives - Selectively launch bold initiatives even when short-term adoption is uncertain - Treat launches as real product bets, not demos - Use launches to test future categories, shape market perception, and signal technical leadership - Be explicit about intent: learning, optionality, or external signaling Requirements Must-Have Experience This role is closer to a Senior / Principal IC PM than to a classic team PM. We expect strong individual judgment and minimal need for process scaffolding. - 5+ years in product roles with real 0→1 or exploratory ownership - Personally owned multiple high-risk bets with explicit go / kill decisions - Experience where learning speed mattered more than polish - Comfort operating with real downside risk (time, opportunity cost, credibility) This experience may come from: - Founder or co-founder roles - Early-stage startups - Internal Labs / innovation teams - New market or platform bets inside larger companies AI & Technical Judgment (Critical) - Strong hands-on experience using AI as a product-building and exploration tool - Comfortable prototyping with LLMs, APIs, or modern tooling - Able to scope AI experiments realistically (data, cost, latency, accuracy) - Can judge feasibility without full engineering validation - Curious beyond AI: automation, real-time data, voice, CV, infrastructure shifts You don't need to be an engineer — but you should be able to: - Ship a functional prototype quickly - Evaluate build vs buy vs partner decisions - Spot capability shifts and turn them into testable hypotheses Why Work With Us - Real ownership over meaningful, high-impact bets - Leadership that values clear thinking over activity - Permission — and expectation — to kill bad ideas early - A product culture that values judgment, taste, and learning - Access to real customers, real data, and real constraints - Long-term focus with equity participation Benefits Our compensation package includes comprehensive benefits and perks, meaningful equity, and a competitive salary: - 31 days of paid time off - 100% paid telemedicine plan - Home office setup assistance - English learning courses - Professional education budget - Gym or swimming pool membership - Co-working support - Fully remote work We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.