RSRobert Schultz

01Product leadership

Turning frontier AI into products people actually use.

Robert Schultz builds product systems at the point where model behavior, user trust, executive pressure, and launch craft meet. His work spans Alexa, Google Assistant, Grammarly, and Meta Wearables.

Current focusContextual and proactive AI for wearable products

02Labs

A developer platform built on my brain.

Not a portfolio — a platform. Live apps that reason over my actual record: bring it a decision, run a hiring panel on it, or just play. All on one brain SDK — grounded, cited, and self-scored before it speaks.

The Judgment Call

Bring a real, thorny consumer-AI decision. Get a grounded, opinionated take cited to Robert's actual record — honest where his record doesn't cover you, and self-scored for grounding before it speaks.

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Hiring Panel

Convene a panel of AI interviewers on Robert's record — each probes from its own lens and returns a structured hire / no-hire verdict you can share.

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Two Truths & a Lie

A game on the anti-hallucination spine: the brain deals two real, cited career facts and one plausible fake it made up on purpose. Spot the lie — then see the receipts.

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Career Constellation

The whole brain as a picture: pick a skill and watch it draw a constellation across the roles it actually spans — with the real receipts underneath. Instant, client-side, no model call.

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Explore the Lab

16 apps · one brain SDK · grounded + self-scored

03The numbers

A career, measured at scale.

companies

0

Meta, Google, Grammarly, Amazon, Ancestry, Accesso

users reached

0B+

Across Alexa, Google Assistant & Meta AI

devices launched

0B+

Echo, Pixel, Ray-Ban Meta, Quest

years shipping

0

Software → mobile → consumer AI

04Experience

The AI you’ve used, worn, and held.

Across six roles and three generations of consumer AI. Skim the receipts — or ask my AI to dig into any of them.

Era 01 · Meta

Nov 2024 – Present

Contextual · Proactive · Agentic

AI charter

Sr. Technical Program Manager — Wearables AI

Drive AI program strategy across Meta's 3,000+ person Wearables organization—owning the Contextual and Proactive AI roadmap for the consumer smart-glasses portfolio across display and non-display form factors, bridging frontier research with production-grade systems for the next generation of consumer AI devices.

  • Own end-to-end Contextual and Proactive AI program strategy across Meta's smart glasses portfolio—orchestrating on-frame inference, cloud LLM serving, multimodal perception, and context understanding to deliver agentic, ambient AI experiences powered by frontier models that define the next generation of consumer AI devices.
  • Drive the end-to-end RLHF data and evaluation strategy for Wearables AI, building human-in-the-loop infrastructure for model quality measurement, error classification, and training-loop optimization—driving weekly VP-level quality reviews. Launched an RLAIF initiative on a Mixture-of-Experts architecture that automated evaluation across 100% of wearables traffic, compressing lead time from 7 days to 24 hours and delivering $100M in cost avoidance.
  • Pioneered the Wearables dogfooding measurement program in partnership with SVP leadership—building the end-to-end data pipeline, instrumenting on-device telemetry, and delivering an executive dashboard that established organizational visibility into real-world device usage for the first time. Drove participation from a 30% baseline to over 90% within three months.
  • Champion cross-Meta AI adoption initiatives within the TPM community—building agent-based program tooling, delivering technical talks, and partnering with leadership to establish AI as a force multiplier for program execution.
7 days → 24 hoursEval lead time$100MCost avoidance30% → 90%Dogfooding participation

Era 02 · Grammarly

Mar 2023 – Nov 2024

25 distributed engineers

Org size

Sr. Engineering Manager — Consumer Engineering

Built and led the engineering organization responsible for Grammarly's core client platform—the foundation enabling AI-powered writing assistance to reach millions of daily users across every consumer surface.

  • Built and led the distributed engineering organization across North America and Europe, reporting to the VP of Engineering—owning the platform layer that enabled all product teams to ship AI features at scale.
  • Launched Grammarly for Developers, an extensible AI platform enabling integration into thousands of third-party products—opening a new go-to-market channel generating millions in annual revenue and significantly expanding Grammarly's consumer reach.
  • Architected Grammarly OS, a unified web-technology platform consolidating Mac, Windows, and Extension clients into a single codebase—tripling feature-delivery velocity and dramatically reducing cross-platform engineering overhead.
  • Launched App Actions, integrating third-party services (Google Docs, JIRA) directly into the Grammarly experience—driving measurable increases in DAU, retention, and Enterprise adoption, and paving the way for Grammarly's AI-native pivot and integration acquisitions such as Coda and Rows.
3xFeature delivery velocityMillions ARRGrammarly for Developers revenue

Era 03 · Google

Nov 2020 – Mar 2023

1B+

Users impacted

Sr. Manager, Technical Program Management — Assistant

Drove AI quality and product-excellence strategy across Google's 2,000+ person Assistant organization, leading a team of senior technical program managers—directly improving the multimodal AI experience for over one billion users worldwide.

  • Directed end-to-end AI quality programs across the full Assistant stack—voice, multimodal understanding, and large language model capabilities—establishing durable measurement frameworks that gave senior leadership clear, data-driven visibility into product health and AI investment priorities.
  • Operationalized AI quality infrastructure that established baselines and targets across the Assistant experience, enabling the organization to track and improve AI performance systematically rather than reactively.
  • Conducted competitive analysis against Alexa and Siri, producing strategic insights that directly influenced product prioritization and strengthened Google Assistant's market position.
  • Scaled and standardized business and quality review processes across multiple engineering organizations, creating operating rhythms that improved decision-making efficiency and cross-org alignment.
Voice · Multimodal · LLMAI stack ownedvs Alexa · SiriCompetitive lensMulti-org cadenceQuality reviews

Era 04 · Amazon

Jul 2016 – Aug 2020

50 cross-functional

Org size

Sr. Manager — Alexa Music

Built and led the cross-functional organization for Alexa Music—with engineering managers, product managers, and technical program managers reporting in—owning the AI software, backend platform, and global partner ecosystem for the most-used feature on 100M+ Echo devices.

  • Scaled Alexa Music from a US-focused product to a global consumer AI platform—launching 15+ strategic music services (Spotify, Apple Music, iHeartRadio, Pandora, SiriusXM) across 20+ countries and 8+ languages, serving 100M+ Echo devices and generating hundreds of millions in downstream revenue.
  • Designed and launched the Music Skills API, transforming partner onboarding from a months-long manual process to an automated, self-service platform—cutting partner time-to-market roughly 6x (from months to days) and enabling the partner ecosystem to scale independently.
  • Managed core voice-AI backend services handling billions of daily requests on consumer devices with high reliability, overseeing a multi-million-dollar annual infrastructure budget while continuously optimizing cost and performance.
  • Executed four executive-level strategic goals reviewed regularly with Amazon's S-team, including the launches of Apple Music and the Spotify migration—two of the highest-visibility partnerships in Alexa's history.
100M+ EchoDevices15+ across 20+ countries / 8+ languagesPartner integrations≈6x (months → days)Partner onboarding time-to-market

Era 05 · Ancestry

Dec 2010 – Jul 2016

150+

Engineers upskilled

Engineering Manager — Platforms

Led multiple engineering teams through a foundational platform transformation, rebuilding core systems, upskilling 150+ engineers, and enabling the technical foundation that supported Ancestry's growth and eventual acquisition.

  • Spearheaded the company-wide adoption of Node.js and React, transitioning 150+ engineers to modern development stacks—increasing development velocity, consistency, and maintainability across the organization.
  • Directed the end-to-end technical execution of Ancestry's acquisition of Find A Grave—migrating 130M+ records and launching new iOS and web applications with zero operational disruptions.
  • Established a dedicated mobile engineering team and modernized the mobile stack, accelerating delivery across platforms and expanding Ancestry's reach to mobile-first users.
130M+Records migrated (Find A Grave)

Era 06 · Accesso ShoWare

2001 – 2010

2M+

Annual tickets sold at scale

Founding Engineer → Sr. Engineer

Founding engineer of one of the first online ticketing platforms (acquired 2014). Built the platform from the ground up and scaled it to 2M+ tickets sold annually.

  • Pioneered the first mobile ticket-scanning solutions for venues.
  • Built early mobile ticket-printing systems—shipping consumer-facing products at scale before "mobile" was a category.
  • Scaled the platform to 2M+ tickets sold annually; company acquired in 2014.

05Frequently asked

What people ask me most.

Tap any answer to keep digging with my AI.

What is Robert doing right now?

Leading AI program strategy for Meta's Wearables since November 2024 — Contextual + Proactive AI across the smart-glasses portfolio. He owns end-to-end RLHF/RLAIF strategy, eval automation, and dogfooding measurement. A signature artifact: an RLAIF initiative on a Mixture-of-Experts architecture that automated evaluation across 100% of Wearables traffic, compressed eval lead time from 7 days to 24 hours, and delivered $100M in cost avoidance.

What's the through-line of his career?

Consumer AI at scale. Three generations of consumer assistants — voice (Alexa Music at Amazon), multimodal (Google Assistant), and now ambient/agentic (Meta Wearables) — shipped to 1B+ users. The thread is taking frontier AI from research into products people actually use, and building the orgs that ship them.

What is Robert best at?

The seam between frontier model behavior and a real, shipped product. He turns research into things people use, builds the AI-quality and eval measurement that drives executive prioritization, and stands up the orgs that ship — from a 50-person Alexa org across 20+ countries to a 25-person Grammarly platform team. He's engineer-first: he earns trust by owning the hard technical tradeoff, not tracking it from outside.

What's he looking for next?

Roles where AI is the product, not a feature — at billion-user ambition, with a flat, fast-feedback culture and direct exec partnership, ideally owning a 0→1 consumer device end to end. He's engaged at Meta and not running a search, so it takes a specific, compelling reason — send a short note via the Request intro form. Advisory, board, and speaking asks are easier yeses than a full-time move.

My AI is grounded in this resume.

05Ask the AI

Talk to my AI.
Grounded in this resume.

Ask about a role, paste a JD and get an honest fit read, or run an agent interview panel. Robert reviews the conversation logs.

Email Robert directly