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Jason Wu

Technical Product Manager | Engineering-Rooted PM

Platform reliability, developer productivity, and AI workflow acceleration.

Senior technical PM leading developer velocity strategy for 4,000+ engineers at Block, with a background spanning full-stack engineering, release excellence, and internal platform leadership.

Based in

Seattle, Washington

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Professional Summary

Technical PM with 15+ years of experience building platforms that improve engineering velocity and developer experience at scale, backed by a BS in EECS from UC Berkeley and hands-on experience as a full-stack software engineer. Currently leading Developer Velocity strategy at Block across Square, Cash App, and Tidal, driving a 170% improvement in PR throughput, 99.90% deployment reliability, and 1,000+ weekly engineering hours saved through AI-assisted CI tooling. Proven at turning developer research and systems data into executive-level platform strategy, including material used for Board reviews and Investor Day.

Impact Snapshot

5.4

PRs per engineer per week

Up from 2.0 under Block-wide developer velocity reporting.

170%

Improvement in PR throughput

Standardized DORA + SPACE metrics across the engineering org.

99.90%

Deployment reliability

Sustained with zero SEV0 incidents for Cash App in late 2025.

1,000+

Engineering hours saved weekly

AI-assisted CI and build resolution returned time to product teams.

3,200+

Developer survey responses per quarter

Scaled from a fragmented baseline to 90%+ participation.

68%

Canary deployment adoption

Up from 27% while auto-rollback usage rose to 15%.

Core Competencies

Platform & Developer Experience

Developer Velocity, CI/CD, Build Systems, Cloud Infrastructure (GCP), Canary Deployments, Deployment Reliability

Frameworks & Methodologies

DORA Metrics, SPACE Framework, Agile/Scrum, OKRs, Release Engineering, Incident Management

Technical Depth

Full-Stack Engineering (C#, .NET, PHP, JavaScript, SQL), Elasticsearch, Machine Learning Classifiers, ATS/Data Systems

PM Skills

Roadmap Strategy, Executive Communications, Vendor Management, Stakeholder Alignment, Data-Driven Decision Making, Analysis

Tools & Platforms

Anthropic Claude Code, OpenAI Codex, Snowflake, Looker, Tableau, Datadog, Splunk, Qualtrics

Experience

Owned Block’s developer velocity program as a company priority, standardizing DORA + SPACE metrics across 4,000+ engineers and building the master dashboard for weekly CTO and Inner Core reporting.
Drove PR throughput from 2.0 to 5.4 PRs per engineer per week, improved DXI from 50 to 62 across all 16 drivers, and maintained 99.90% deployment reliability.
Scaled the Block Developer Survey from fewer than 50 fragmented responses to more than 3,200 responses per quarter at 90%+ participation, making it the primary signal for Platform Engineering investment.
Led rollout of AI-enabled CI and build resolution systems that saved developers about 17% of the time previously spent resolving failed builds, returning 1,000+ hours weekly.
Drove canary deployment adoption from 27% to 68% and auto-rollback usage from 2% to 15% by prioritizing validation gaps identified through developer research.
Reduced CI build times by 16% to 40% across Java, Go, and Web repositories by implementing a structured intake process that let teams hit SLA targets for the first time in over a year.
Authored the “Release Excellence” strategy and created the quarterly planning process aligning platform work with developer needs across Square, Cash App, and Tidal.
Produced Board and Investor Day data narratives that translated platform efficiency into executive decision support.

Expanded ownership across release engineering, automated testing, and centralized authentication roadmaps in partnership with SRE and Security.
Led error monitoring and alerting tooling for OncoEMR with programmatic code ownership, yielding 58% fewer production bug incidents and 48% more bugs detected before customer reports.
Rolled out identity federation and MFA for OncoEMR, consolidating authentication across 100+ developers and enabling stronger baseline security controls.
Served as Release Manager, leading incident analysis and the observability roadmap for the engineering organization.

Promoted to Team Lead of the Refugee Coordination Center and led cross-agency collaboration with State and Homeland Security, earning the Director’s Partnership Award.
Built the Digital Refugee Approval Stamp in PHP and SQL, reducing case turnaround time from 8 weeks to 3 to 4 days while improving security standards.
Designed the refugee processing data model in SQL and Tableau, contributing to the program exceeding its 85,000 admissions target by more than 20% over any prior year.
Coordinated the first successful release of the Digital Naturalization Process in ELIS after years of prior failures.

Delivered internal tools during growth from 3,000 to 11,000 employees, helping Facebook meet its annual technical hiring target for the first time since IPO.
Built a resume ranking ML classifier that recovered 2,000+ false negatives and a candidate profile aggregator that reduced average research time from 15 minutes to 1 minute.
Designed recruiting funnel dashboards in SQL, Oracle, Hive, and Tableau that saved roughly 600 employee hours per month.

Architected the site pricing system in C#, .NET, and SQL, contributing to a 10% improvement in revenue per customer.
Built the expert payout and profile management systems while serving as Technical Lead across product, business analysis, design, and engineering.

Education

University of California, Berkeley · Bachelor of Science, Electrical Engineering and Computer Science (EECS) · 2008

Proof Lab

The resume above remains the canonical 2-page artifact. The modules below provide context, supporting metrics, and operating principles for evaluators who want proof behind the outcomes.

Operating pattern

Use measurement as a shared language across executives, engineers, and platform teams.
Balance speed with reliability and cloud cost rather than optimizing one metric in isolation.
Turn developer research into roadmap change, not just survey reporting.
Translate platform health into narratives that support resource allocation and leadership decisions.

Evidence highlights

+17 Local dev satisfaction after Playpen 2.0 advocacy

46% → 63% Developer feedback triage rate

33% Increase in PRs merged for Graphite users

56% More code shipped through improved PR stacking

Developer Velocity program

Context: Block needed a coherent definition of engineering velocity across Square, Cash App, and Tidal.

Challenge: Teams lacked a shared language for speed, responsiveness, and developer experience.

Intervention: Jason formalized DORA + SPACE metrics, created the master velocity dashboard, and made it central to weekly executive reporting.

Outcome: PR throughput rose from 2.0 to 5.4 PRs per engineer per week while DXI improved from 50 to 62 across all 16 measured drivers.

DX survey transformation

Context: Developer feedback existed, but it was fragmented and too small to drive confident investment decisions.

Challenge: Platform teams needed high-integrity qualitative data that reflected different engineering disciplines.

Intervention: Jason normalized survey operations, grew participation beyond 3,200 responses per quarter, and improved triage and follow-through.

Outcome: The survey became the primary data source guiding Platform Engineering investment and contributed to the largest single-driver satisfaction gain in program history.

AI-assisted CI and build resolution

Context: Build failures and fragmented CI systems created persistent developer toil.

Challenge: Teams were spending meaningful time diagnosing failures instead of shipping product work.

Intervention: Jason partnered with internal AI teams and platform engineers to roll out Actionable CI and bridge multiple CI platforms toward longer-term consolidation.

Outcome: AI-driven build resolution saved developers roughly 17% of the time spent fixing failed builds, returning an estimated 1,000+ hours weekly.

Reliability with velocity guardrails

Context: Faster shipping only mattered if platform reliability stayed high.

Challenge: Canary adoption and auto-rollback usage were stalled because teams lacked enough validation confidence.

Intervention: Jason focused the roadmap on validation gaps, reliability checks, and process changes that increased release confidence.

Outcome: Canary adoption climbed from 27% to 68%, auto-rollback usage rose from 2% to 15%, and Block sustained 99.90% reliability during major vendor outages.

Release Excellence and planning process

Context: Platform engineering needed a repeatable operating rhythm that protected teams from noise.

Challenge: Quarterly planning and request intake were not yet mature enough to align platform work with the highest-leverage developer needs.

Intervention: Jason authored the Release Excellence strategy, created the planning process, and implemented structured intake patterns that reduced low-priority interruption cost.

Outcome: CI build times fell by 16% to 40% across major repositories and teams hit SLA targets for the first time in more than a year.

Meta recruiting platforms and ML legacy

Context: Meta needed internal tooling to support rapid growth and hiring at scale.

Challenge: Recruiting operations needed better prioritization, candidate context, and bottleneck visibility.

Intervention: Jason built a resume ranking classifier, a candidate profile aggregator, and KPI dashboards used across recruiting workflows.

Outcome: The systems recovered 2,000+ false negatives, reduced candidate research time from 15 minutes to 1 minute, and saved about 600 hours per month.

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