Technical Program Manager, Data Operations
WayveThe role
As a Technical Program Manager in Data Operations at Wayve, you'll be the delivery engine behind our data and annotation operations - turning a high-variance pipeline of requests into predictable, high-quality delivery. You'll own requests end-to-end - intake, definition, estimation, scheduling, execution, and QA - working across data science, ML, engineering, and our external annotation suppliers.
This is high-judgment coordination, not ticket administration: your impact is measured by how reliably data work lands and how effectively you create clarity and unblock progress across many stakeholders. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
Key Responsibilities
Intake & stakeholder alignment: Understand each ask, confirm it's complete, align on the goal and success criteria, and identify missing inputs before work starts.
Estimation: Coordinate estimation with engineering and data science / ML, facilitate trade-offs, and push back on unrealistic asks.
Scheduling & setup: Structure and sequence tickets, and coordinate external suppliers to set annotation work up for success.
Execution, comms & issue management: Keep work moving with clear status updates, risk and issue tracking, blocker removal, a visible "path to green," and well-aligned escalations across internal teams and partners.
Enable self-serve users: onboard, support, and troubleshoot Wayve's internal self-serve users across the whole annotation tool chain.
Supplier coordination: Own day-to-day coordination with external annotation suppliers - onboarding, label guides, task launch, QA, and delivery tracking.
Enable self-serve users: Onboard, support, and troubleshoot Wayve's internal self-serve users across the whole annotation tool chain.
Continuous improvement: Improve intake, ticketing, and reporting (including automation) - while owning the judgment, negotiation, and unblocking that can't be automated.
About you
In order to set you up for success as a Technical Program Manager in Data Operations at Wayve, we're looking for the following skills and experience.
Essential
Bias for action: ~3+ years in program, delivery, or operations coordination (TPM, project / program coordinator, or similar). You get things done and deliver reliably within a defined scope.
Strong stakeholder management and comfort with ambiguity: you create clarity from underspecified asks and stay neutral and constructive when priorities compete.
Technically fluent enough to coordinate: comfortable working with engineers and data science / ML and reasoning about data and pipelines, even though you won't write production code.
Brings structure without slowing things down: proactive risk and issue management; escalates early with clear options.
Clear, frequent communicator: you keep many parties aligned with timely, tailored updates.
Collaborative: you influence without authority and build trust across teams and suppliers.
Growth mindset: open to feedback and always improving how the work gets done.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Desirable
Experience in data operations, annotation / labelling workflows, or external vendor / supplier management.
Comfortable with Jira (or similar) and with workflow automation.
Exposure to ML / data pipelines, autonomy, or robotics.
Similar roles
Design & Tech
Related reads from TCHNX

The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.

The Quiet Revolution in Edge AI: Why Your Next Computer Might Not Need the Cloud
As neural processing units become standard in consumer devices, we're witnessing a fundamental shift in how AI applications work. Local processing is no longer a fallback; it's becoming the preferred architecture.

The Rise of AI-Assisted Code Generation 2: Are Developers Becoming Prompt Engineers?
As AI coding assistants reshape software development, the industry grapples with a fundamental question: is writing code giving way to writing prompts? We examine how London's tech scene is adapting to this seismic shift.


