Josh Weinstein
Engineering Leader for Anthropic
15+ years building products and teams. Currently leading on AI at Bloomberg, providing Agent and Assistant platforms to 3 business units.
Trusted By
Why Josh?
Here's what I'd bring to the table.
Product Vision
Set product vision for AI Assistant platform in year one. Drew on product and founder experiences to lead product discovery, roadmap, and KPIs before handing off to dedicated PM.
First Principles
Background in Philosophy, History of Science & Math, and Psychology. Thinks from first principles when the problem calls for it. Just ships when it doesn't.
Founder Twice, Then Scaled
Built two companies from scratch. Then led platform orgs across 3 business units. Knows how to start things and scale them.
Building Multipliers
No-code Agent Builder added ~30% more builders without hiring. 2.5x'ed eval throughput by forming cross-functional team to optimize. Automated pair programming for 100+ engineers. Test quality initiative improved avg quality 40%. Builds systems and culture that multiply.
A/B Testing
Built metrics and A/B testing frameworks to optimize search experiences. Reduced time and clicks to successful outcomes. Spread experimentation culture across 3 orgs and 200+ engineers via tech talks, workshops, and baking into standard processes.
EM → Member of Technical Staff
Full-stack ownership. Will write code, design screens, define eval criteria, or partner with the teams who do it best. It's about solving the problem and collaborating with the right people to do that, not staying in a lane.
Impact by the Numbers
Shipped AI Assistants across Law, Tax, and Government in 3 quarters
Bloomberg Tax AI Assistant. Engagement surpassed answers on legacy search result pages.
Tax research memo: 20 hours down to 4 hours with AI Assistant
No-code Agent Builder enabled non-engineers to ship LLM functionality
Org-wide GenAI evaluation systems accelerated quality iteration
With shared UI component libraries shipped across 3 organizations
Shipped Publicis People Cloud that was credited with supporting $500M sale
Novel front-end architecture dramatically improved page load times while enabling 10 teams to continually deploy without conflicts
Spread A/B testing and experimentation practices across 3 orgs via tech talks, workshops, and process changes
Upgraded deployment from once a week to many times a day via new application architecture and CI/CD system
Career Timeline
15+ years building products, teams, and companies.
Director of Engineering
Bloomberg LP · Law, Tax & Government
- Led GenAI transformation across 3 business units
- Shipped AI Assistant and Agent platforms to Bloomberg Law, Tax, and Government
- Drove executive alignment across Engineering and Product leadership
- Won 2025 CPA Practice Advisor Technology Innovation Award
Senior Engineering Manager
Bloomberg LP · Bloomberg Law
- Owned search & document rendering (~90% of traffic)
- 3× page load improvement via SPA architecture
- Deployment cadence: once/week → many times/day
- UI component libraries used by 150+ engineers
- A/B testing frameworks across 4 orgs / 200+ engineers
Director of Product Engineering
Publicis
- Hired & led cross-functional squad (PM, designer, 6 engineers)
- Built People Cloud: end-to-end audience targeting platform
- Credited with supporting $500M sale
Founder
Rebound · ML-Powered Conversion Optimization
- Bayesian ML to automatically show best-performing offers
Founder / CTO
Argmaps · Visual Research Platform
- Design-forward UX with ElasticSearch, NLP classifiers, Neo4j
- Built a JS MVC framework from scratch before they existed
Director of Products
KickApps · Social & Video Platform
- Led pivot that sold the company (white-label social → video)
- Shipped App Studio used by NBC, Adobe, Madonna, BET, MLB, NFL, NHL
- Won 2010 SAMMY Awards (Best Social CRM + Best Social Platform)
- Grew plugin marketplace to > 30 plugins
- Grew developer community to ~3,000
- Spoke at NY Tech Meetup
Skills & Expertise
From architecture to org design.
Leadership & Strategy
- AI/ML Product Strategy & Roadmaps
- Org Design & Reorg Execution
- Cross-Functional Leadership (Eng + ML + Data + Product + Design)
- Executive Alignment & Stakeholder Management
- Hiring, Diversity Infrastructure, Team Scaling
- Performance Management & Talent Development
- Metrics-Driven Decision Making & A/B Testing Culture
Technical & Domain
- LLMs, RAG, NLP, AI Agents
- Python, TypeScript, React, Vue.js, Node.js
- Search Systems (Elasticsearch, Vector Search)
- Platform Architecture & CI/CD
- Regulated / Professional Domains (Legal, Tax, Government)
- Evaluation Systems for GenAI
- Data Pipelines & Observability
People Leadership
Managing people with empathy, intention, and a systems mindset.
Early Intervention
Recognized a talented ML manager was misaligned with her role before it became a problem. Had proactive, honest conversations about what energized her versus what her current trajectory would require from her in the future. Proposed a diagnostic: teaching a class at NYU. It confirmed her research-oriented motivation.
Guided her to a research-focused position where she thrived. Retained high-quality talent, preserved trust and psychological safety. The peer manager was thrilled. Strong ML managers are rare.
Have the uncomfortable conversation before it becomes a problem.
From Beast IC to Org-Level Force Multiplier
Recruited a prolific contractor that four other managers failed to close. Negotiated higher comp, justified with GitHub stats and cross-team impact. Then designed a deliberate growth path: 70+ pairing sessions in one year, a cross-team 'fixer' model embedding him on struggling teams, and high-impact, cross-org projects.
Successfully promoted to Senior Staff Engineer. His org-wide influence (SWE Book Club, Test Code Quality Working Group, cross-BU systems) raised the engineering bar for everyone around him.
Great individual contributors need intentional systems to scale their impact beyond what they can produce.
Hiring Systems > Individual Hires
Built structural improvements to hiring quality: behavioral interview question banks focused on judgment and ambiguity, resume name-blinding to reduce bias, and diversity-forward recruiting with videos featuring real engineers and managers.
Personally hired ~12 engineers during GenAI reorg, sourced 5 candidates into pipeline (2 became standouts). Then handed leadership of the resume screening group to a direct report, multiplying the impact.
Structural fairness improves diversity and talent quality. Hiring systems matter as much as individual hires.
The Person Behind the Work
What shapes the way I think and build.
Unconventional Foundations
Philosophy & History of Science/Math at St. John's College. Psychology at UC Berkeley. Trained to think from first principles, question assumptions, and test them.
Founder Twice Over
Built Rebound (ML-powered conversion optimization) and Argmaps (visual research platform) from zero. Knows what it takes to build something from nothing: the ambiguity, the resourcefulness, the ownership.
Growth Mindset
Went back to the front lines when coding models step-changed. What I'm learning is reshaping how I think about centralized teams: less about distributing shared code, more about maintaining the protocols and verification harnesses that ensure consistency when code gets regenerated instead of reused.
Lifelong Learning
Built a visual research platform (Argmaps) designed to show the best answers to any question, and the best evidence for and against them. A home base for lifelong learners to record and further their own learning, and collaborate with others doing the same.
Brooklyn → Open to SF
Based in Brooklyn. Ready for the next chapter. Open to San Francisco.