--- title: 'Member of Technical Staff at Phonic' canonical: 'https://feeny.ai/job/member-of-technical-staff-phonic-san-francisco-36g11k3za0gg' type: 'job' last_seen: '2026-09-10' --- # Member of Technical Staff at Phonic - **Company:** Phonic - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-11 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/phonic/9e9d8d11-0d2d-4cf7-b7dc-2c884690741d ## Job description ## About Phonic Phonic is a product and research lab focused on powering the most realistic, human-like voice AI conversations. We've re-thought the entire stack in pursuit of this goal, from models to product, to create voice agents that feel like they truly understand you, respond emotionally and perform agentic tasks with frontier intelligence. Our team includes top-tier AI researchers, international olympiad medalists, and former founders. Our customers include companies that are building voice-native AI products in industries such as customer support, healthcare, logistics, and recruiting. We have raised over $30M from tier 1 VCs. ## About the Team Phonic has a very talent-dense and close-knit team. We collaborate with high trust and are constantly trying to improve how we work to deliver world-class research and product. Everyone takes ownership in what they do and they aren’t afraid to dive in headfirst into new problems. ## About the Role As a Member of Technical Staff at Phonic, you'll work across the full range of what it takes to build voice AI from low-level platform and infrastructure engineering to applied research. This is a generalist role: you'll move fluidly between problems as the company needs them solved, taking end-to-end ownership from design through production. We don't divide MTS by title or seniority. You'll be trusted with real scope from day one, and the shape of your role will grow and shift as Phonic does. ## What You'll Do - Own problems end-to-end - from architecture and design through shipping and iteration in production. - Work anywhere across the stack as needed: platform and infrastructure engineering, backend services and APIs, product surfaces, or applied research. - Partner directly with research and ML to translate frontier voice AI capabilities into reliable, production-grade systems. - Help set technical standards and practices for the team while we're still small enough for it to matter. - Work wherever your strengths and interests point — infra one week, a research prototype or a customer-facing feature the next; tell us where your interests lie and we’ll help place you there. ## What You'll Bring - Bachelor's degree (or higher) in Computer Science from a top university. - Proven track record: you've built and shipped production systems you're genuinely proud of. - Genuine interest and demonstrated ability to work across the full range from platform engineering to research — not boxed into one layer of the stack. - Strong engineering fundamentals: clean, testable, maintainable code, even when moving fast. - Full-stack fluency: experience with or strong interest in frontend, backend, infrastructure, and the seams between them, or demonstrably fast at picking up new stacks. - Ownership mindset: you take problems from ambiguous to shipped without needing a fully-scoped spec. - Execution speed: you ship, learn, and iterate quickly rather than overplanning. - Autonomy: you thrive with real scope and minimal oversight, and you're comfortable being opinionated. - AI-native: you use modern AI tooling (coding agents, LLM APIs) as a natural extension of how you build. ## Nice to Have - Experience with real-time or streaming systems (WebSockets, WebRTC, audio/media pipelines). - Experience at an early-stage startup where you helped set technical standards. - Familiarity with voice, telephony, or conversational AI products. - You're a former founder or technical lead. ## Benefits - Top-tier compensation: competitive salary and equity to match the caliber of talent we hire. - Meals: free breakfast, lunch, and dinner in the office. - Healthcare: comprehensive health, dental, and vision coverage. - Regular off-sites and team celebrations. ## About Phonic ## Company Overview - **One-liner**: Phonic builds a speech-to-speech voice agent platform for enterprises, powered by proprietary audio foundation models to deliver natural, reliable conversations. - **Entity Type**: Private (Seed stage) - **Headquarters**: San Francisco, California, USA - **Founded**: 2024 - **Founders**: Moin Nadeem, Nikhil Murthy ## Core Business - **Primary industry/industries**: Voice AI, Enterprise Software, Artificial Intelligence - **Target customers**: Enterprises deploying voice agents for customer support, operations, and high-trust interactions (B2B) - **Mission or purpose statement**: “To make talking to voice AIs as simple and reliable as talking to humans.” ## Products & Services - **[Phonic Platform]**: An end-to-end speech-to-speech platform for building, evaluating, and deploying voice agents. Features include real-time intelligence, observability, searchable interaction records, and containerized deployment within the customer’s environment. Leverages proprietary audio foundation models for low-latency (under 300ms) conversational voices. - **[Maven Voice]**: An enterprise-grade AI voice agent built on Phonic’s platform, announced in August 2025 for chaotic, noisy, and unpredictable real-world situations. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding raised: $4M (Seed round, April 2025) - **Notable Investors/Partners**: - Lead investor: Lux Capital - Angel investors include: Clement Delangue (Hugging Face CEO), Erik Bernhardsson (Modal), Michele Catasta, Douwe Kiela, Amjad Masad, Qasar Younis - **Growth Signals**: - Seed round of $4M closed in April 2025 with strong investor backing from AI infrastructure leaders. - Employee count grew from founding team to ~18 as of April 2026 (estimated 18 from Tracxn; LinkedIn reported 6 in early 2026 before recent hires). - Launched Maven Voice in partnership with Maven AGI in August 2025, demonstrating enterprise traction. - Active hiring (engineering, research) indicates scaling phase. ## Competitive Advantages - **Proprietary audio foundation models** that enable speech-to-speech within 300ms, achieving a natural conversational flow that rivals human interaction. - **Full observability and evaluation stack** — built right into the platform so enterprises can monitor, debug, and improve agent conversations over time. - **Secure, containerized deployment** — runs completely in the customer’s environment, addressing enterprise security and compliance requirements. - **Real-time insights and failure analysis** across millions of agents, providing a system of record for voice interactions. ## Strategic Focus - Continue building the most reliable speech-to-speech platform for enterprise-grade voice agents. - Expand use cases beyond customer support into high-trust verticals such as healthcare, finance, and insurance. - Grow the engineering and research team, particularly researchers experienced in audio modeling and production engineers. ## Why Work Here - **Culture**: In-person, collaborative team in San Francisco (onsite workspace). The company emphasizes doing meaningful work in a fun environment. - **Team**: Small, high-caliber team of researchers and engineers from top backgrounds (MIT, Jane Street, Robinhood, Hugging Face). Flat hierarchy with direct impact. - **Mission**: Opportunity to define how humans interact with voice AI at scale, tackling reliability and naturalness challenges. - **Perks**: Not publicly detailed, but typical early-stage startup benefits include equity, flexible PTO, and the chance to shape product and culture. - **Growth**: Rapidly growing after a well‑funded seed round; new hires can expect high ownership and accelerated career development. ## Sources 1. [phonic.co](https://phonic.co/) 2. [phonic.co/company](https://phonic.co/company) 3. [builtin.com](https://builtin.com/company/phonic) 4. [linkedin.com](https://www.linkedin.com/company/phonic-co) 5. [tracxn.com](https://tracxn.com/d/companies/phonic/__4TPVIPNDFpbV6xRNF8_OeUI3ZQMO-qYLkT5bm53BIx0) ## Other roles at Phonic - [Developer Relations](https://feeny.ai/job/developer-relations-phonic-san-francisco-sk59qe58phac) — San Francisco, CA - [Platform Engineer](https://feeny.ai/job/platform-engineer-phonic-san-francisco-fmd7e472dpy6) — San Francisco, CA - [Machine Learning Research Intern 2027](https://feeny.ai/job/machine-learning-research-intern-2027-phonic-san-francisco-42vpeb0ad962) — San Francisco, CA - [Software Engineer, Frontend](https://feeny.ai/job/software-engineer-frontend-phonic-san-francisco-qr3efp3a411g) — San Francisco, CA - [Research Scientist](https://feeny.ai/job/research-scientist-phonic-san-francisco-61aw758fyze5) — San Francisco, CA - [Research Engineer](https://feeny.ai/job/research-engineer-phonic-san-francisco-pjsjeqfq1sk1) — San Francisco, CA - [Member of Technical Staff](https://feeny.ai/job/member-of-technical-staff-seamflow-london-yq9y3d366wsw) — London, United Kingdom - [Member of Technical Staff](https://feeny.ai/job/member-of-technical-staff-everpure-bengaluru-c2mt52x9tgd3) — Bengaluru, India - [Member of Technical Staff](https://feeny.ai/job/member-of-technical-staff-everpure-bengaluru-a4gecgdm79m6) — Bengaluru, India - [Member of Technical Staff](https://feeny.ai/job/member-of-technical-staff-cockroach-labs-new-york-svesxr0t61e4) — New York, NY / San Mateo, CA / Toronto, Canada