We're looking for an IoT Engineer to help design, build, and scale the connected hardware powering the Energy Network. This is a hands-on role spanning embedded systems, networking, device security, and fleet connectivity , from prototype through to deployment.
\nYou'll contribute to building resilient connectivity, secure provisioning, and robust telemetry across a growing fleet of distributed energy devices.
\nAs an IoT Engineer, you'll play an important role in shaping how our devices connect, communicate, and evolve securely at scale, working closely with firmware, hardware, and backend teams to deliver production-ready systems.
\nResponsibilities:
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\nMillions 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.
\nAt 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.
\nDiscover 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.
\nCreating a career you love? It's Possible.
\nAt 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.
\nTo get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
\nThrough 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.
\nYou can read more about our AI interview philosophy and how we use AI in our recruiting process here.
\nThe Team:
\nPinterest helps people find inspiration and take action on it,connecting pinners with ideas and products they love.
\nWithin EPD, the Monetization org builds the ads and merchant ecosystem that funds Pinterest’s business while protecting long-term user experience.
\nThis Staff TPM role sits in Monetization as the TPM lead for Monetization Data Science, at the center of a highly cross-functional network (Product, Engineering, Design, Sales, PMM, Core, Platforms, Data).
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\nWhat you’ll do:
\nLead the Monetization DS execution roadmap: drive the integrated plan across the four strategic pillars (SSOT + funnel, segmentation, input-metrics cadence, democratized analytics) with clear milestones and success measures.
\nProductionalize our DS strategy: coordinate Platforms/Data Eng + Monetization Eng + DS to productionalize core tables, governance, reliability, and scale beyond DS-owned pipelines.
\nEnable new instrumentation: partner with Engineering to close observability gaps (especially delivery funnel instrumentation) so full-funnel survivability can be analyzed reliably.
\nDrive workflow automation: reduce manual human intervention in recurring data workflows and program operations; build durable mechanisms for monitoring, alerting, and dependency tracking.
\nScale self-serve and democratization: deliver partner-facing tooling (dashboards / analytics surfaces) that makes staples the common language and supports fast diagnostics and opportunity mining.
\nOperationalize input metrics: establish/upgrade business review cadences so teams set goals and are accountable for moving controllable input metrics (not just reporting revenue outcomes).
\nDrive targeted deep dives: structure and execute cross-functional deep-dive programs (e.g., influencer population, auction density/demand) with clear hypotheses, decision asks, and downstream action plans.
\nUse GenAI as the default operating model for EP PgM execution,producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
\nPrototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
\nFollow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.
\nWhat we’re looking for:
\nStaff-level TPM scope and behaviors: proven ability to independently own multi-team, multi-quarter technical programs, including resolving ambiguity, driving decisions, and delivering outcomes through influence.
\nDeep cross-functional leadership: strong partnership with Product and Engineering plus ability to align Design, Sales, PMM, Core, Platforms, and Data on sequencing, tradeoffs, and adoption.
\nData platform + metrics judgment: experience building trusted metrics/SSOT and operational cadences that shift org behavior toward leading indicators and fast diagnosis.
\nMechanism builder, not “process administrator”: track record of creating durable operating systems (cadence, dashboards, decision logs, RACI/DRIs) that reduce toil and increase velocity.
\nExcellent risk and dependency management: anticipates cross-org failure modes, keeps stakeholders aligned with crisp comms, and escalates with clear options and recommendations.
\nAI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications,starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.
\nWorkflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
\nSafety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
\nBachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.
\nRelocation Statement:
\nThis position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
\nIn-Office Requirement Statement:
\nWe 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.
\nThis role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
\n#LI-REMOTE #LI-JD3
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\nWe're looking for a senior, deeply technical TPM to own delivery of Replit's highest-stakes, most complex programs—starting with our evergreen Agent roadmaps. This is an IC role for someone who has previously been an engineering manager or senior engineer, can operate comfortably in AI/LLM-heavy systems, and brings order, momentum, and sharp decision-making to cross-team ambiguity. The ideal candidate uses AI and automation aggressively to scale themselves, but understands that the core value is clarity, tradeoffs, and execution, not just tooling.
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\nWant to learn more about what we are up to?
\nInterviewing + Culture at Replit
\nTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
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