Note: Partly is headquartered in the UK, with a Product and Engineering base in Christchurch, and an early presence in San Francisco. If you are not based in Christchurch, we will fly you to HQ for 2 weeks for onboarding, as well as 1 week per quarter for our “Season Openers” (we pay for your travel and accommodation). If you are relocating to Christchurch from NZ or from overseas, we can also assist with relocation costs.
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.
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.
Want to learn more about the problems we're solving and the culture we're building at Partly? Hear directly from our team here: https://shorturl.at/iAFUX
Partly's network is the engine of the business. It connects insurers, repairers, and parts suppliers across a complex web of rules, integrations, and commercial relationships - and it is where the most consequential automation challenges live.
As Senior PM for Network, you will own Partly's end-to-end parts procurement network: from live supply and basket recommendations, through the procurement APIs and network rules that govern every transaction, to invoice reconciliation and downstream fulfillment. This is a full-ownership role. You are the single accountable person for how well the network performs - for repairers who need the right part quickly, for suppliers who need reliable demand and clean integrations, and for insurers who need compliance and cost outcomes.
The core challenge is automation. Your job is to continuously raise the ceiling - improving supply coverage, advancing the intelligence of our recommendation models, and instrumenting the network so it can operate and improve autonomously over time.
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.
Live Supply & Depth. Real-time stock and pricing availability across the supplier base, and parts coverage depth across types, grades, and markets. Key metrics: instant-fulfillable rate, supplier coverage, catalogue freshness, availability rate by part type.
Basket Recommendations (PerfectPart). Partly's proprietary AI model for calculating and recommending optimal parts baskets. The model is continuously trained and must consistently outperform human judgment to enable full procurement automation. Key metrics: recommendation acceptance rate, automation rate, basket quality score vs. human baseline.
Conversion. Purchase conversion across supply availability, recommendation quality, and the UX of the manual selection flow. Key metrics: order conversion rate, time-to-order, drop-off by funnel stage.
Network Rules. Definition, administration, and evolution of the insurer, repairer, and supplier rule sets that govern every transaction on the platform. Key metrics: compliance rate, assessor approval rate, time-to-configure.
Procurement APIs, Front-Ends & Integrations. The transactional backbone of Partly Rails - covering offer, order, and invoice reconciliation - plus the supplier OMS and third-party integration layer. Key metrics: API uptime, order error rate, ops efficiency.
Invoice Source of Truth. Partly as the system of record for the digital parts invoice, enabling automated reconciliation and downstream returns management. Key metrics: automated reconciliation rate, exception rate, settlement cycle time.
Shipment & Fulfillment. End-to-end shipment visibility, supplier performance rating, and returns management post-procurement. Key metrics: on-time delivery rate, supplier rating score, return rate.
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 relevant markets and segments, including the multi-sided platform dynamics of the Partly network.
Own key product metrics across the network's performance 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 customers - calls, site visits, usage sessions. This is a core weekly activity, not an occasional input.
Talk to suppliers and repairers separately; understand where their needs align and where they conflict.
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, marketing, operations, and support around product direction and trade-offs.
Communicate priorities and reasoning clearly - especially when the answer is no.
Represent the customer'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 here affect behaviour across the whole network?
Raise the bar
Partly.com
https://partly.com.com