Jack Gardner

Founder & CEO of Synteric, reinventing labor with humanoid robotics in Manufacturing and Logistics.

Generative AI “Digital Workers” for Sales
Founding tech lead and one of the first 5 employees at an early-stage generative AI startup building AI “digital workers” for revenue teams. Led the zero-to-one build and commercialization of two flagship agents: Alice, an outbound sales associate that fully automates prospecting and outreach, and Julian, a voice sales agent; creating the core revenue engine that powered the company’s hyper-growth and fundraising.

Responsibilities

• Took Alice from stealth prototype to market-ready product, owning the end-to-end technical build and working closely with founders and GTM to win and retain early customers.
• Partnered with leadership on overall product strategy and roadmap for the AI workers portfolio, with a focus on sales AI and early voice AI.
• Incubated and led a cross-functional team (engineering, product, GTM) to build, launch, and scale Julian, the AI voice sales agent, from concept to live customers.
• Drove tight feedback loops with design partners and customers, turning qualitative feedback and usage data into product decisions and revenue growth.

Outcomes

• Took Alice from stealth to $1M ARR in 6 months, then from $1M to $2M ARR in 38 days, establishing clear product–market fit and a repeatable revenue engine.
• Grew Julian from idea to multi-million ARR within 6 months, creating a second high-growth product line.
• Product and revenue traction from Alice and Julian helped drive back-to-back Series A (Benchmark) and Series B (a16z), with $75M+ in total funding raised during my time at 11x.

Data-Driven Coaching for Racing Gamers
Early engineering leader at a London-based consumer gaming startup redefining virtual motorsports coaching. Built and led the product engineering function, turned Track Titan product from an early prototype into a scaled consumer product with high paid retention, and helped convert product traction into venture funding.

Responsibilities

• Owned the end-to-end technology function: hiring, mentoring, and leading the engineering team, plus overseeing architecture, data stack, and product delivery.
• Partnered with the founders on product and growth strategy, using player telemetry and user feedback to shape roadmap, pricing, and experimentation.
• Supported fundraising by translating product, data, and vision into a compelling technical and commercial narrative for VCs and strategic investors.

Outcomes

• Grew Track Titan from hundreds to 100k+ users, with tens of thousands of monthly active players and strong paid subscription retention.
• Took the company from $0 to hundreds of thousands in ARR, building a scalable monetization model on top of a large free user base.
• Helped secure ~$1.8M in seed funding https://www.businessinsider.com/titan-academy-pitch-deck-sports-coaching-platform-raises-18-million-2023-1
• Designed and implemented a data platform processing ~1TB of player telemetry per month.

Main technologies: TypeScript, Node.js, Python, AWS, Electron.

Founding engineer on Prime Video’s Promotions team, sitting between product, engineering, and business.

Responsibilities

• Acted as a founding engineer for the Promotions team, helping grow it from 3 → 14 engineers and shaping the technical direction, processes, and quality bar.
• Partnered with senior Vendor Managers and product leaders to design the end-to-end Prime Member Deals workflow and internal tooling.
• Owned core offers/pricing microservices and the rollout of an experiment-first (A/B testing) approach for promotions at global scale.

Outcomes

• Turned Prime Member Deal setup from a multi-day, ticket-driven process into a self-service flow taking minutes, cutting related ticket volume by ~60% and eliminating recurring human errors.
• Scaled promotions and pricing services to handle 5× traffic (≈130k requests/sec) while maintaining reliability and performance during peak events.
• Embedded experimentation as the default for promotions, driving measurable revenue uplift on deal titles and catching underperforming initiatives early.

Main technologies: AWS, Java, TypeScript.

Built simulation and decision-support tools that helped race engineers make faster, data-driven calls on car design, setup, and race strategy.

Highlights

• Implemented cutting-edge tyre science into offline and driver-in-the-loop simulations, directly informing car setup and development.
• Built tooling that combined track data with multiple tyre models to output performance scenarios used in race and design decisions.
• Independently researched and prototyped neural network models to predict brake-to-tyre energy transfer, increasing simulation fidelity.