Product Manager, US
black.ai
Note: Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world toward a sustainable future where anyone can fix anything. This particular role is to be based onsite in our Austin, Texas Office. Our story Founded by ex-Rocket Lab engineers, we utilise bleeding-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia. We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online. Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder). We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience. This role Repairers are the demand engine of the Partly network — and this role owns their entire experience on it. That experience spans a lot of ground. A repairer arriving at a job today navigates fragmented tools, manual processes, and no common protocol across estimation, procurement, and invoice reconciliation. They're time-pressured, often non-technical, and operating within rule sets defined by the insurers who fund their work. The gap between how this works today and how it could work — with Partly as the connective tissue — is the opportunity this role exists to close. As Principal/Staff PM for Repairer Experience, you will own the end-to-end product experience for repairers across all of Partly's markets: the Repair App, Mobile App, and integration surfaces that connect Partly to the broader repairer toolchain. More than interface ownership, you are accountable for the total value repairers get from Partly — and for the adoption, engagement, and automation outcomes that prove it. This is a full-ownership role. You are the single accountable person for how well Partly works for the repairer — from the moment they onboard to the moment a job closes. The core challenge is progressive automation. Partly's long-term value to repairers isn't a better UI for the same manual work — it's eliminating the manual work. Your job is to design the path from where repairers are today to workflows that run with minimal human intervention, earning trust incrementally at each step. You'll be operating at an inflection point. AI-assisted development and agents are compressing product discovery and delivery cycles. The best PMs we know are no longer waiting for engineering capacity to test an idea — they're building rapid prototypes themselves, deploying them, reading the signal, and deciding within days. We're looking for someone already working that way, or actively building toward it. What you'll own End-to-End Repairer Experience. The full repair job workflow across all repairer-side users — estimators, parts managers, accountants — and all Partly surfaces: Repair App, Mobile App, and future interfaces. Key metrics: NPS, time-to-value, time spent per job, task completion rate. Repairer-Side Automation. The product strategy for progressively automating estimation, procurement, and reconciliation workflows through AI-assisted recommendations, agent-driven actions, and smart defaults. Key metrics: automation rate by workflow stage, manual touchpoints per order, operational time saved per job. Product-Led Growth. Onboarding, activation, and repeat engagement — treated as product design problems. Includes building the incentive structures that lead repairers to pull preferred suppliers onto the network. Key metrics: activation rate, weekly active repairer rate, jobs per active repairer, repairer-sourced supplier pull-through. Integration Experience. The quality and coherence of Partly's integrations into Bodyshop Management Systems, estimating platforms, and other repairer tools. A poor integration experience is a poor Partly experience. Key metrics: integration reliability, cross-system task completion rate, repairer-reported friction. Intelligence, Reporting & Auditability. The dashboards, performance reporting, and audit trails that help repairers make better decisions and demonstrate compliance to insurers. Key metrics: dashboard adoption, audit trail completeness, insurer acceptance rate. What you'll do Own your product, end-to-end Define and evolve the product vision, strategy, and roadmap aligned with company direction. Continuously assess and improve Product–Market Fit across global markets and the full repairer segment — from enterprise fleet operators to single-site independents. Own key product and PLG metrics and use them to steer all decisions. Lead go-to-market alignment for your product, including packaging, positioning, and rollout sequencing. Act as the single accountable owner — for successes, failures, and everything in between. Stay close to customers Maintain direct, regular contact with repairers — calls, site visits, usage sessions. This is a core weekly activity, not an occasional input. Spend time in the shop. Understand what estimators, parts managers, and accountants actually do, where they lose time, and what "better" would feel like to them. Combine qualitative customer insight with quantitative usage and metric data. Read both and reconcile them. Translate what you learn directly into prioritisation and PMF assessment — and share it with the teams that need it. Build and ship, not just specify Prototype new product iterations yourself using AI-assisted development and LLM-assisted tooling — fast, disposable, real. We call this vibe coding; it is our default mode for product discovery. Treat the prototype as the hypothesis. Test with real customers before writing the spec. Run structured A/B tests and experiments where appropriate; use results to drive prioritisation. Work hands-on with data: define metrics, build dashboards, query logs, read the signals directly. Lead in the human loop Partner closely with engineering leads to balance discovery, delivery, and technical sustainability. Align GTM, Customer Success, operations, and support around product direction and trade-offs. Communicate priorities and reasoning clearly — especially when the answer is no. Represent the repairer's reality in every internal decision, not as a summary but as evidence. Lead in the agent loop Design and instrument feedback loops that let you learn from system behaviour alongside user behaviour. Define what "working" means for agentic or AI-driven features — in terms of evals, edge case handling, and observable outcomes. Think in systems: how does a decision in the repairer experience affect behaviour across the whole network? Raise the bar Contribute beyond your product boundary: cross-product coherence, shared principles, and the overall product craft at Partly. Help define what excellent product ownership looks like here as the team grows. What you bring Non-negotiables Genuine customer obsession — a demonstrated habit of spending time with users in their actual work context, with a track record of that depth driving product direction. Not as an input. As a practice. Craft-level commitment to UX quality. The bar here is experiences that feel effortless to time-pressured, non-technical users operating across fragmented, high-stakes workflows. Functional is not the finish line. 5+ years owning complex B2B software products end-to-end, with clear accountability for outcomes — not just delivery. Multi-persona, operational, or workflow-heavy domains preferred. Demonstrated PLG instincts: onboarding, activation, and retention treated as product design problems, with personal accountability for adoption and engagement outcomes. Experience with API-first or integration-dependent products, and strong intuition for where cross-system friction quietly destroys user value. You build rapid prototypes yourself — with AI-assisted tools, LLM-assisted development, or code — as a first instinct for testing ideas. Strong analytical instinct: you define the metrics, build the view, read the data, and act on it — without waiting for a data team to hand it to you. Excellent judgment in a complex multi-stakeholder environment where repairer, insurer, and supplier interests compete. Strong signals we look for Familiarity with AI-assisted or agent-driven workflow automation — particularly where automation must earn user trust progressively rather than replace all at once. Experience in automotive, insurance, repair, or equivalent operational verticals involving parts, supply chain, or job management. Exposure to marketplace or network dynamics from the demand side. Experience designing alongside a Customer Success function, with a clear model for where product and CS responsibilities divide. Familiarity with mobile-first or field-based user contexts where tools must work under time pressure. Founder background, or early employee at a startup that scaled materially. You've killed or radically changed something you personally believed in, and can explain why. Bonus Domain knowledge in collision repair, automotive aftermarket, or insurance claims. Experience scaling products across multiple geographies or customer segments. Experience building or operating products with meaningful agentic or automation components. How you'll think and operate We're not looking for framework experts or consensus-drivers. We're looking for someone who thinks like this:
- I visited two repair shops this week. Here's what I saw, here's what it changed, and here's what I'm doing differently because of it."
- I built a test version of the onboarding flow th is afternoon. Four repairers have already tried it. Here's what I learned."
- Here's what the data shows. Here's what I think it means. Here's what I'm doing about it. Here's when I'll be wrong."
- I own the repairer experience. If it's broken, that's on me. Let me tell you exactly how it broke and what I'm doing about it."
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