--- title: 'Frontend Product Engineer at Tacit' canonical: 'https://feeny.ai/job/frontend-product-engineer-tacit-san-francisco-2t7b6qys1eg5' type: 'job' last_seen: '2026-09-09' --- # Frontend Product Engineer at Tacit - **Company:** Tacit - **Location:** San Francisco, CA - **Compensation:** $160k–$210k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-18 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/tacit/0526f3de-13df-498d-8b75-210d3af35ab7 ## Job description ## About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can’t reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life. ## ABOUT THE ROLE We are looking for a frontend product engineer to turn early ideas, prototypes, and design explorations into magical user-facing experiences. This is our first dedicated frontend hire: the interfaces you build are how people will actually experience silent speech. This role sits at the intersection of frontend engineering, product design, UX, and rapid product iteration. You’ll build polished interfaces in React, work through design and interaction details, prototype new product concepts, gather feedback from users, and refine experiences until they feel intuitive, beautiful, and accessible. You should be the kind of engineer who cares deeply about how software feels. You notice when a flow has one click too many. You have strong opinions about interaction design, visual hierarchy, motion, responsiveness, and the small details that make a product feel crafted. You can work from a rough whiteboard sketch, or a Figma file, and turn product intuition into code. You know who Engelbart, Kay, Weiser, and Rams are, and you understand why their work matters. ## WHAT YOU'LL DO - Work deeply in React and modern TypeScript to create fast, reliable, expressive interfaces for novel HCI workflows. - Translate intuitive product ideas into clear interaction models, UX flows, and high-quality UI implementations. - Prototype new product concepts quickly, test them with in-house users and external participants, and iterate based on what feels useful, delightful, and intuitive. - Improve onboarding, setup flows, data collection experiences, session flows, and other high-friction parts of the user journey. - Use qualitative feedback, instrumentation, funnels, and lightweight experiments to understand user behavior and make better product decisions. - Help establish frontend patterns, component systems, interaction standards, and implementation practices that let the team move quickly without sacrificing quality. - Sweat the details: layout, responsiveness, empty states, error states, loading states, accessibility, performance, motion, copy, and the overall feel of the product. ## REQUIREMENTS - Deep proficiency with React and modern TypeScript. - Strong frontend engineering fundamentals, including component architecture, state management, performance, browser behavior, styling systems, and testing. - A portfolio or track record of shipping polished, user-facing software that real people have used. - Excellent product sense: you can reason from user goals, identify friction, simplify workflows, and make pragmatic tradeoffs. - Strong UX instincts and visual taste, with the ability to work through multiple design iterations rather than stopping at the first functional version. - Ability to collaborate closely with technical and non-technical teammates, communicate design/engineering tradeoffs clearly, and take ownership of outcomes. - Independent work ethic, flexibility, impact driven, and resourcefulness. ## STRONG CANDIDATES MAY HAVE - A creative, artistic, design, or visual background, whether formal or self-taught. - Experience building design systems, component libraries, interactive prototypes, or highly polished consumer/product interfaces. - Experience with animation, motion design, canvas/WebGL, graphics, real-time interfaces, or other interaction-heavy frontend work. - Experience designing product experiments, instrumentation, funnels, dashboards, or feedback loops to guide iteration. - Experience working on products involving hardware, sensors, real-time data, ML-driven experiences, or novel human-computer interaction. - Familiarity with native frameworks such as iOS, macOS, Swift, SwiftUI, UIKit, AppKit, or similar. - Comfort working lightly across the stack when needed, especially to unblock product prototypes or connect frontend experiences to APIs. - Curiosity about the history of input, wearable, and calm computing - 5+ years of software engineering experience and a bachelor’s degree or higher in a relevant field, or equivalent practical experience. ## COMPENSATION RANGE $160,000 - $210,000/year plus equity ## BENEFITS - Competitive equity package - Comprehensive medical, dental, and vision insurance - Company size: 30-50 people - Unlimited PTO - Visa sponsorship - 4% 401k matching ## About Tacit ## Company Overview - **One-liner**: An early-stage, stealth deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction, with a focus on neurotechnology and Edge AI. - **Entity Type**: Private (Early Stage, Stealth) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available - **Founders**: Not publicly available (founding team includes alumni from Stanford, BrainGate, Oculus, and Tesla) ## Core Business - Primary industry/industries: Neurotechnology, Edge AI Hardware, Human-Computer Interaction - Target customers: B2B/B2C in consumer electronics, wearable tech, neurotech, and AR/VR sectors - Mission or purpose statement: To develop revolutionary hardware that redefines how humans interact with computers, leveraging deep tech innovations in neural interfaces and on-device artificial intelligence. ## Products & Services - **Product/Platform**: A next-generation neurotech hardware platform (stealth mode – specific product details are not publicly disclosed) that integrates production-grade on-device intelligence, realtime sensor processing, and NPU/DSP-accelerated inference. ## Market Standing - **Valuation/Market Cap**: Not disclosed (stealth startup) - **Key Metric**: Total Funding – Backed by top-tier venture firms (General Catalyst, Khosla Ventures, Greylock Partners) but specific funding amounts are not publicly available. - **Notable Investors/Partners**: General Catalyst, Khosla Ventures, Greylock Partners - **Growth Signals**: Company size estimated at 20–30 employees ([bebee.com](https://bebee.com/us/companies/tacit)), rapidly hiring across firmware, AI, and hardware engineering roles; founding team from elite institutions (Stanford, BrainGate, Oculus, Tesla), indicating strong talent acquisition and ambitious R&D trajectory. ## Competitive Advantages - Deep tech moat: proprietary neurotech hardware combined with custom Edge AI runtimes and NPU/DSP optimization. - World-class founding team with proven expertise in neural interfaces (BrainGate), consumer VR (Oculus), and electric vehicle engineering (Tesla). - Backing from a powerhouse coalition of venture firms (General Catalyst, Khosla, Greylock), providing significant resources for long-term, capital-intensive hardware development. - Stealth positioning allows focused R&D without competitive pressure, enabling breakthrough innovation. ## Strategic Focus - Shipping production-grade edge intelligence: developing realtime sensor-to-inference pipelines for neurotech hardware. - Power optimization: deeply optimizing end-to-end energy per inference for battery-powered consumer devices. - Scaling engineering team: actively recruiting Senior Firmware Engineers, AI Product Engineers, and other hardware/software roles to accelerate productization. - Building a full-stack neurotech platform from sensor acquisition through model deployment and user experience. ## Why Work Here - **Culture**: Early-stage, high-autonomy environment; team members own critical parts of the embedded AI stack and shape the product’s intelligence. - **Remote/Hybrid/Office**: On-site in San Francisco (based on all job postings specifying "Location Type: On-site" and "San Francisco"). - **Compensation**: $150,000 – $200,000 base salary plus competitive equity package, 3% 401k matching, comprehensive medical/dental/vision, and unlimited PTO. - **Engineering Culture**: Hands-on work with cutting-edge hardware (NPUs, DSPs, custom sensors) and production AI; strong cross-functional collaboration between firmware, ML, electrical, and product teams. - **Visa Sponsorship**: Offered for qualified candidates. - **Perks**: Full medical/dental/vision coverage, 401(k) with company match, unlimited PTO, and the opportunity to ship revolutionary neurotech hardware to real users. ## Sources 1. [Tacit Careers Page (Ashby)](https://jobs.ashbyhq.com/tacit/62712a3e-e5b8-4884-9450-aae4d2dfa45c) 2. [BeBee - Tacit Company Profile](https://bebee.com/us/companies/tacit) 3. [Jobright.ai - Tacit AI Product Engineer Posting](https://jobright.ai/jobs/info/6971dbb2b707bf728a4b654d) 4. [Indeed.com - Tacit Careers and Employment](https://www.indeed.com/cmp/Tacit) 5. [Tacit AI Official Website (Tacit AI)](https://tacitx.ai/about/) – *(Note: this domain appears distinct from tacit.ai; included as potential affiliate/likely same company under different brand)* 6. [Tacit Official Website](https://tacit.ai/) ## Other roles at Tacit - [Rapid Prototyping Engineer](https://feeny.ai/job/rapid-prototyping-engineer-tacit-san-francisco-c6r78rgdqcrg) — San Francisco, CA - [Finance and Operations Lead](https://feeny.ai/job/finance-and-operations-lead-tacit-san-francisco-njjpatk3w9a3) — San Francisco, CA - [Technical Program Manager, Operations & Manufacturing](https://feeny.ai/job/technical-program-manager-operations-manufacturing-tacit-san-francisco-6bz0sxs5pxwn) — San Francisco, CA - [EE Systems Validation and Automation Engineer](https://feeny.ai/job/ee-systems-validation-and-automation-engineer-tacit-san-francisco-9cdw1f8w71cg) — San Francisco, CA - [RF Hardware Intern (Fall 2026)](https://feeny.ai/job/rf-hardware-intern-fall-2026-tacit-san-francisco-qxswc71mxb9g) — San Francisco, CA - [Machine Learning Scientist](https://feeny.ai/job/machine-learning-scientist-tacit-san-francisco-pt1w314e43ge) — San Francisco, CA - [Data Collection Technician](https://feeny.ai/job/data-collection-technician-tacit-san-francisco-z3hyxpf9r298) — San Francisco, CA - [RFIC Silicon Lead](https://feeny.ai/job/rfic-silicon-lead-tacit-san-francisco-zdy00hqe0mnm) — San Francisco, CA - [Senior RF Validation Engineer](https://feeny.ai/job/senior-rf-validation-engineer-tacit-san-francisco-9xq9s0r3qxr1) — San Francisco, CA - [Senior Firmware Engineer, Edge AI / NPU Runtime](https://feeny.ai/job/senior-firmware-engineer-edge-ai-npu-runtime-tacit-san-francisco-pe289s2hzda4) — San Francisco, CA