Jason Wu

Technical Product Manager | Engineering-Rooted PM

Developer Enablement, Platform Strategy, AI-Native Developer Tooling

Senior technical PM leading developer velocity strategy for 4,000+ engineers at Block, with 15+ years across full-stack engineering, release engineering, and internal platform leadership.

Based in

Seattle, Washington

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Professional Summary

Technical PM with 15+ years building developer platforms that improve velocity and reliability at scale, backed by a BS in EECS from UC Berkeley and hands-on full-stack engineering experience. At Block, leads Developer Velocity across Square, Cash App, and Tidal, driving a 170%+ improvement in PR throughput through velocity initiatives, and 1,000+ weekly engineering hours saved through AI-assisted CI tooling. Converts deep developer research and systems data into executive-level platform strategy, including Board and Investor Day materials.

Impact Snapshot

170%

Increase in engineer throughput

Drove PRs per engineer per week from 2.0 to 5.4 through a developer velocity initiative. (Block)

1,000+

Engineering hours saved weekly

Saved developers 17% of the time spent fixing failed builds with AI build resolution tooling. (Block)

58%

Fewer production incidents

Improved bug detection before customer reports by 48% with proactive monitoring workflows. (Flatiron Health)

50%+

Case turnaround improvement

Reduced refugee case turnaround from 8 weeks to 3 to 4 days with streamlined digital approval processes. (US Digital Service)

80%

Reduced candidate time to contact

Improved candidate reachout from 10 to 2 minutes with data aggregation and ML classifiers. (Meta)

10%

Improvement in revenue

Built the pricing system that optimized product prices per customer. (JustAnswer)

Core Competencies

Platform & Developer Experience

Developer Velocity, CI/CD, Build Systems, Deployment Reliability

Frameworks & Methodologies

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

Tools & Platforms

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

Technical Skills

Full-Stack Engineering (C#, .NET, PHP, JS, SQL), SQL/Data Modeling and Analysis, Executive Communications, Stakeholder Alignment, Vendor Management, Data-Driven Decision Making

Experience

Drove 170% improvement in developer throughput and reclaimed 1,000+ engineering hours per week.

Standardized Block's Developer Velocity framework across 4,000+ engineers and built the Master Velocity Dashboard for weekly CTO and Inner Core reviews.
Led productivity measurement strategy during large-scale AI adoption, producing Board and Investor Day narratives used in platform investment decisions.
Increased PR throughput from 2.0 to 5.4 PRs per engineer per week (+170%) and improved DXI from 50 to 62 across 16 drivers while SEV0/1 counts remained historically low.
Authored the Release Excellence strategy and drove user-led roadmap changes that raised canary adoption from 27% to 68% and auto-rollback usage from 2% to 15%.
Launched AI-enabled CI and build-resolution workflows across platform teams, cutting failed-build resolution time by ~17% and returning an estimated 1,000+ engineering hours per week.
Established the quarterly planning process across Square, Cash App, and Tidal to align platform investment with highest-leverage developer needs.

Built proactive error monitoring that helped reduce production incidents by 58%.

Owned release engineering, automated testing, and centralized authentication roadmaps across partner teams including SRE and Security.
Built OncoEMR error monitoring and alerting with programmatic code ownership, reducing production incidents by 58% and increasing pre-customer detection by 48%.
Rolled out identity federation and MFA across OncoEMR, consolidating authentication for 100+ developers and enabling stronger baseline security controls.
Ran release management and incident analysis for the engineering org, delivering an observability roadmap that drove new monitoring tooling and process improvements.

Reduced refugee case turnaround from 8 weeks to 3 to 4 days and supported the program's highest admissions year on record.

Led the Refugee Coordination Center across State and DHS as Team Lead, earning the Director's Partnership Award for cross-agency delivery.
Rolled out the Digital Refugee Approval Stamp worldwide (PHP, SQL), cutting case turnaround from 8 weeks to 3 to 4 days while improving security standards.
Designed the Refugee Processing Data Model (SQL, Tableau) for end-to-end pipeline visibility, helping the program exceed 85,000 admissions by 20%+ over any prior year.
Coordinated the first successful Digital Naturalization Process release in ELIS after multiple prior program failures.

Owned internal tooling roadmap to help hit technical hiring targets while scaling from 3,000 to 11,000 employees.

Led internal tooling delivery during growth from 3,000 to 11,000 employees, helping Facebook hit annual technical hiring targets for the first time since IPO.
Built a resume-ranking ML classifier and candidate profile aggregator for recruiting workflows, recovering 2,000+ false negatives and reducing research time from 15 minutes to 1 minute.
Built recruiting funnel dashboards in SQL, Oracle, Hive, and Tableau, automating KPI tracking and saving roughly 600 employee hours per month.

Built the price testing system that was used to optimmize product prices per customer.

Architected the site pricing system in C#, .NET, and SQL, contributing to a 10% improvement in revenue per customer.
Built expert payout and profile management systems as Technical Lead, partnering across product, business analysis, design, and engineering to run 3 to 4 feature tests per week.

Education

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

Proof Lab

This is the work 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

170%+ Improvement in PR throughput at Block

58% Fewer production incidents at Flatiron Health

50%+ Improved refugee case turnaround time at US Digital Service

80% Reduced candidate time to contact at Meta

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 qualitative signal guiding Platform Engineering investment decisions.

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 SEV0/1 incident counts remained historically low.

Meta recruiting platform with ML classifier

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 an ATS and candidate search workflow across in-house and third-party systems, plus a resume ranking classifier, candidate profile aggregator, and KPI dashboards.

Outcome: The systems reduced recruiter time to contact from 10 to 2 minutes, cut referral response time from 10 days to 1 day, recovered 2,000+ false negatives, and saved about 600 hours per month.