Technical Product Manager

Location Flexible

Full-time

Job Description

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

Wayve’s success depends on our ability to rapidly iterate on world-class AI models. The Technical Product Manager, Model Dev Platform will play a critical role in scaling that capability - helping us speed up model development workflows, reduce iteration friction, and accelerate learning cycles across the company.

This is a rare opportunity to shape the internal platform that underpins all model development at Wayve. You’ll be the first internal PM embedded in engineering, setting the standard for product leadership within platform teams. Your work will directly influence our ability to ship better models faster - growing our technical moat and impacting every layer of our AI stack.

Beyond execution, this role offers a front-row seat to the emergence of Physical AI - the next frontier of embodied intelligence. You’ll work alongside world-class researchers and engineers solving open problems at the intersection of machine learning, robotics, and systems. For those hungry to learn and lead in a new field with transformative potential, this is an exceptional opportunity.

Success in this role will require driving clear prioritisation, building world-class tools, and aligning tightly with the needs of ML practitioners and engineering leads. You’ll need to think strategically, deliver tactically, and earn trust across disciplines.

Examples include:

Improved Experiment Velocity and Developer UX

Delivering intuitive workflows, streamlined tooling, and reduced friction across the model development lifecycle - empowering ML practitioners to move faster with confidence.

Fleet Experiment Scheduling Efficiency

Driving prioritised, optimised usage of test fleet capacity through robust internal tools that reflect model team intent and operational constraints.

Platform Cohesion and Long-Term Strategy

Setting clear, shared roadmaps across platform subteams; ensuring work aligns with evolving business needs, and that platform debt is managed intentionally.

Voice of the User (Model Developers, Fleet Operations)

Establishing trusted relationships with AI Engineering, MLOps, and Fleet Operations; maintaining a robust feedback loop and translating needs into actionable priorities.

Reliable and Scalable Foundations

Working with tech leads to drive improvements in reliability, observability, and performance across training and data pipelines, experiments, and UX.

What Success Looks Like

Model developers feel supported, empowered, and move faster with less friction
Platform team execution is focused, coordinated, and aligned with model team priorities
Fleet scheduling and experiment tooling becomes a differentiator for velocity and insight
A clear roadmap is in place and evolving across the tools, data ingest, training CI, and fleet scheduling
The product function is established as a high-trust strategic partner within Engineering

Challenges You Will Own

This person will be the first internal product manager working within the Model Dev Platform engineering team - which supports the tools and pipelines used to build, test, and iterate on our core models. They will be expected to lead from the front, earn the trust of engineering and research stakeholders, and shape both short and long-term roadmaps for the platform.

They must balance tactical delivery (e.g. streamlining user workflows, enabling training experiments, unblocking data ingestion needs) with strategic planning (e.g., roadmap for efficient pipelines, developer observability, and long-term supportability).

To start, this is a senior individual contributor role - ideal for a high-agency person who thrives on operating with large, complex scope, and enjoys rolling up their sleeves. They will also be part of a strong, collaborative team of release managers and technical program managers who flex across product, program, and execution responsibilities. We value people who are not precious about role boundaries, who collaborate deeply, and who prioritise solving the right problems over defending turf.

Key Responsibilities

Define and manage the roadmap across key platform surfaces: internal tools, training CI, data pipelines, fleet experiment scheduling
Collaborate closely with engineering and fleet operations leads to scope, sequence, and deliver initiatives that accelerate model team workflows
Serve as voice-of-customer for internal ML engineers and researchers - build empathy, translate needs, and prioritise accordingly
Drive product discovery and design improvements for developer tools and UI (e.g., Console workflows)
Identify and drive resolution of platform-level gaps, bottlenecks, and inefficiencies
Support incident response prioritisation and operational trade-offs with the SRE and CI teams
Communicate trade-offs and progress clearly to stakeholders across Engineering, Science, and Leadership

About you

Essential

Technical Fluency & Systems Thinking

Strong technical foundation - able to engage credibly with engineers, researchers, and infrastructure teams
Comfortable navigating complex systems spanning software, hardware, data, and operational workflows
Brings domain expertise in platform engineering, MLOps, and developer tooling - including CI/CD, observability, and orchestration
Skilled at surfacing technical trade-offs and guiding teams through architectural decisions and scaling challenges
Thinks in systems - connecting tools, people, and processes to accelerate impact, not just ship features

Execution & Delivery Excellence

8+ years driving complex, cross-functional products from inception to impact - owning roadmaps, prioritisation, and delivery
Brings a data-driven mindset - balances evidence, intuition, and constraints to make high-quality decisions
Adapts delivery approach to the problem - balancing structure, flexibility, and executional rigour
Instils a culture of ownership, clarity, and accountability - with meticulous attention to detail across plans, documentation, and comms
Communicates rationale, trade-offs, and progress clearly to align and unblock stakeholders

Cross-Functional Leadership and Influence

Aligns diverse stakeholders - uniting research, engineering, operations, and leadership around shared priorities
Operates with influence, not authority - builds trust, drives clarity, and navigates ambiguity to move teams forward
Brings presence and empathy across levels - from ICs to execs - and communicates with structure, consistency, and credibility
Acts as a strategic partner to leadership - trusted to shape priorities, challenge assumptions, and represent cross-functional perspectives
Demonstrates self-awareness and a growth mindset - open to feedback, embraces stretch, and accelerates others’ growth through support and fostering resilience
Hands-on leadership style - willing to jump into the trenches and work alongside team members to solve problems

Strategic & Business Impact

Brings structure to ambiguity - turning complex, ill-defined problems into clear, actionable plans
Connects team execution to company priorities - surfaces risks, trade-offs, and impact
Balances long-term thinking with short-term delivery - aligning vision with measurable outcomes
Operates with a bias for impact - focuses teams on what moves the needle for the business

Startup Mindset

Pragmatic and action-oriented - balances shipping fast with diving deep when it matters
Thrives in ambiguity - brings clarity, confidence, and calm when priorities shift
Builds lightweight process to unblock teams - avoids bureaucracy, focuses on leverage
Driven by impact - cares deeply about outcomes and doing the right thing for internal users

Desirable

Experience with ML/AI workflows - including model training, experimentation, and modern MLOps stacks (e.g. Weights & Biases, Kubernetes)
Exposure to regulated or safety-critical environments - understands risk, traceability, and compliance constraints
Experience working with international or distributed teams - comfortable operating across time zones and cultures
Demonstrated people leadership - builds high-performing, resilient teams
Power user of AI tooling - seeks leverage through automation and designs AI-augmented systems that collaborate with humans

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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