Technical Product Manager

RevolutionParts•Tempe, AZ

7d•Hybrid

About The Position

RevolutionParts powers eCommerce for automotive dealers, brands, and aftermarket sellers — enabling them to sell parts and accessories online through a modern, scalable platform. We're growing our marketplace, B2B, and AI-powered shopping capabilities, and we're looking for a Technical Product Manager to help us build a faster, more reliable, and more discoverable platform. We're hiring a Technical Product Manager to own our platform performance, search, and reliability roadmap. This is a highly technical, cross-functional role: you'll partner directly with engineering to make architecture and prioritization tradeoffs, translate infrastructure investment into business impact, and drive measurable improvements in site speed, search relevance, and platform stability. You'll be the product owner for the technical backbone of our platform — the areas that determine whether customers can find what they need and whether the site is fast and reliable enough to convert them. This role determines what gets built and why, not how — the team you'll be partnering with is made up of staff, principal, and senior engineers who own implementation and architecture decisions. Your job is to define needs clearly enough that they don't have to guess, push back with technically grounded questions on performance and scalability tradeoffs, and hold the line on non-functional requirements before an engineer flags them as gaps after the fact. Location: This is a hybrid position based in Tempe, Arizona, requiring two days per week on-site (currently Tuesday and Thursday) with the flexibility to work the remaining days remotely.

Requirements

5+ years of PM experience partnering directly with engineering on platform, infrastructure, or search initiatives
5+ years of professional engineering experience having worked as a software engineer writing and shipping production code - not solely in an adjacent technical role.
Demonstrated experience owning a technical roadmap against measurable KPIs (latency, uptime, conversion, etc.)
Comfort in defining both functional and non-functional requirements for a team whose work, at times, may be heavily backend or hidden away from the UI
Comfortable pulling and validating your own data without the use of a UI (via REST APIs and database queries)
Familiarity with observability tools like DataDog
Experience prioritizing platform/technical debt against feature work
Bachelor's degree in a technical field (Computer Science, Engineering) or equivalent practical experience
Using AI tools responsibly to accelerate research, analysis, documentation, and problem-solving
Exercising strong judgment around data privacy, accuracy, and ethical use
Continuously learning and adapting as AI capabilities evolve

Nice To Haves

eCommerce or high-traffic web platform experience is a plus!
Experience with search/relevance systems (indexing, ranking, auto-suggest) - ideally with Elasticsearch or a comparable engine
Exposure to marketplace, multi-seller, or B2B platforms
Experience navigating cloud cost/performance tradeoffs, particularly on AWS
Background in automotive, parts, or high-growth eCommerce
Direct experience with relational databases at scale (e.g. Aurora MySQL/PostgreSQL), container orchestration (e.g. EKS/Kubernetes), and asynchronous messaging systems (e.g. queues, pub/sub)
Web performance fundamentals (Core Web Vitals, caching/CDN strategy)
Understanding of search/relevance systems and how they drive conversion
Ability to read architecture diagrams and API specs
Comfortable reading a pull request or codebase to understand behavior, without needing to write production code day-to-day
SQL and REST API proficiency for independent data analysis
Familiarity with observability/monitoring tools for SLAs and performance tracking (e.g. Datadog), ideally in AWS-based environments
Ability to write technical tickets defining both functional and non-functional requirements and define use cases that may be purely technical in nature
In incident and postmortem discussions, able to ask technically grounded root-cause questions and determine whether the issue traces to a requirements gap (e.g. unspecified non-functional requirement) or a known technical constraint — always tying findings back to customer impact
Able to translate fluently in both directions — business needs into technical specs, and technical tradeoffs into business terms non-technical stakeholders can act on
Comfortable pushing back on engineering with data, not just deferring
Credible enough with staff/principal-level engineers to ask pointed technical questions and hold your ground, without needing to propose the solution yourself
Bias toward measurable outcomes over feature output
Strong cross-functional influence without direct authority
Calm under ambiguity — platform and infrastructure work often lacks clean requirements
Proven examples of using AI to improve outcomes in prior roles is expected.

Responsibilities

Own the product roadmap for platform health, search relevance, and site performance/latency, and prioritize it against feature roadmaps
Partner with engineering on architecture and technical tradeoff decisions, bringing product judgment to complex infrastructure and search initiatives
In postmortems, help distinguish whether an incident stemmed from a missing or poorly defined non-functional requirement versus an engineering execution issue or a known technical limitation
Define and track performance and search metrics (page speed, search relevance, uptime, conversion impact) and connect them to business outcomes
Translate technical constraints and platform debt into clear, business-readable priorities for leadership and stakeholders
Drive discovery and requirements for search and platform improvements, working with data/analytics to validate impact
Manage cross-functional dependencies between engineering, data, and other product teams on shared infrastructure