--- title: 'Senior Backend Engineer at Giga' canonical: 'https://feeny.ai/job/senior-backend-engineer-giga-san-francisco-b394712tr1hk' type: 'job' last_seen: '2026-09-12' --- # Senior Backend Engineer at Giga - **Company:** Giga - **Location:** San Francisco, CA - **Compensation:** $200k–$350k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-10-14 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/gigaml/0356bbca-0bc4-4463-8ca6-ea2db04c0d83 ## Job description This role is on-site in San Francisco in the Dogpatch neighborhood. ## About Giga Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point. While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies. If being part of that resonates with you, we'd love to hear from you! - [Voice AI startup Giga raises $61M Series A](https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a/) - [DoorDash and Giga Partnership](https://www.linkedin.com/feed/update/urn:li:activity:7391576181009018883/) ## The Role We're looking for backend engineers to build the infrastructure and systems that power our AI agents. You'll work across the stack, from data pipelines and analytics to real-time agent systems, shipping features that directly impact how our customers operate. This isn't a role where you'll be handed a spec and asked to execute. You'll own problems end-to-end: figuring out the right approach, building it, and iterating based on what you learn. ## What You'll Work On A few examples from our current roadmap: - Analytics rewrite: Migrating our analytics service to ClickHouse and rebuilding it to scale through our next 10x of growth - Hallucination detection: Improving our detection systems with the goal of driving hallucination rates toward zero - Browser use agent: Scaling, stabilizing, and adding features and accuracy to our browser use agent in lieu of formal customer APIs As a senior engineer, you'll be expected to make sound technical decisions, ship reliably, and help set the bar for code quality and system design. You'll have significant autonomy and influence over what gets built and how. Tech Stack - Backend: Python (Django/FastAPI), TypeScript (Node.js) - Infrastructure: AWS, Modal, Kubernetes, Postgres - Frontend: TypeScript, Next.js (you'll interact with this, but it's not the focus) You Might Be a Fit If You - Have 4+ years building backend systems, ideally at companies where reliability and scale mattered - Are comfortable with ambiguity: you can take a loosely-defined problem and figure out what to build - You'll jump into unfamiliar parts of the codebase when that's what the problem requires - Write clean code and care about getting the details right, but also know when to ship - Want to work on hard problems with a small team where your work has obvious impact - Are excited about AI agents and the infrastructure challenges that come with running them in production ## Perks & Benefits - Competitive base + bonus + equity - Catered lunch daily - Dinner stipend - $500/month wellness & commuter benefit (gym, fitness classes, mental health) - 401(k) plan - Medical, dental, and vision coverage Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. ## About Giga ## Company Overview - **One-liner**: Giga builds enterprise AI voice agents that handle complex customer interactions with unmatched speed and scale, giving time back to humanity. - **Entity Type**: Private (Series A, ~$61M raised in August 2025 led by Redpoint) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 (some sources list 2024; conflicting reports) - **Founders**: Esha Dinne (CTO) and Varun Vummadi (Co-Founder) ## Core Business - **Primary industry**: Enterprise AI / Customer Support Automation / Software Development - **Target customers**: B2B – large enterprises (e.g., DoorDash) - **Mission**: “To save people time” – reprogram the world’s largest companies using AI, reaching every human on the planet. ## Products & Services - **[AI Voice Agents]**: Enterprise-grade AI support agents that handle complex customer interactions with human-like intelligence, available as a SaaS platform or on-premise deployment. - **[Guardrails]**: Built-in hallucination checks to ensure accuracy, with automatic fallback to human support when needed. - **[Progressive Automation]**: Gradual automation of support workflows with performance metrics to identify automation opportunities. - **[Insights]**: AI-powered analytics that detect customer churn drivers and highlight improvement areas. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total funding of **$64.7M** (Seed rounds totaling ~$3.7M, plus Series A of $61M in August 2025); estimated annual revenue of **$1M** (LinkedIn data) - **Notable Investors/Partners**: Nexus Venture Partners (Seed lead), Eight Capital, Redpoint (Series A lead), Y Combinator (Summer 2023 batch) - **Growth Signals**: Headcount grew **+537.5% YoY** to 50 employees; customer win with DoorDash; 40+ open positions across engineering, sales, and operations; LinkedIn followers grew **+411.7% YoY** to over 30,000. ## Competitive Advantages - **Speed and scale**: Claims to ship faster than competitors while maintaining enterprise-grade reliability. - **Human-like AI**: Pioneering voice AI that has “never been perfected in tech history” – a technically challenging moat. - **Customer obsession**: Deep focus on solving real customer problems, evidenced by high-profile enterprise adoption. - **On-premise option**: Offers secure on-premise LLM deployment for data-sensitive enterprises, a differentiator vs. pure cloud solutions. ## Strategic Focus - Scale enterprise voice AI across the world’s largest companies. - Continue rapid hiring (especially in engineering, sales, and strategy/operations). - Push the boundaries of reasoning AI for voice interactions. - Build a culture of speed, ownership, and craft excellence. ## Why Work Here - **Culture**: Values include customer obsession, operating with speed, deep care for craft, pushing boundaries, and taking ownership. Employees have high agency and are encouraged to experiment. - **Work environment**: On-site in San Francisco (2 offices); typical time on-site is “none” but employees work from physical offices (hybrid flexibility implied). - **Perks**: Full medical, dental, and vision coverage; Equinox gym membership; in-office ping-pong and pool table; on-demand snacks, coffee, and DoorDash credits; after-hours transportation reimbursement. - **Engineering culture**: Strong emphasis on quality, detail, and shipping fast. 18 technical team members (36% of workforce). Open roles include Staff Backend Engineer, Senior Frontend Engineer, and AI/ML positions. - **Growth opportunity**: High-growth startup (revenue and headcount scaling rapidly) with mission-driven work that impacts millions of customers. ## Sources 1. [builtin.com](https://builtin.com/company/giga-gigamlcom) – Company overview, size, offices, culture 2. [giga.ai/careers](https://giga.ai/careers) – Official careers page, values, benefits, open roles 3. [crunchbase.com](https://www.crunchbase.com/organization/giga-ml) – Funding, products, founders, headquarters 4. [ycombinator.com](https://www.ycombinator.com/companies/giga) – YC profile, founding date, team size, latest news 5. [linkedin.com](https://www.linkedin.com/company/gigaml) – Employee count, revenue, funding, growth metrics, open positions 6. [fortune.com](https://fortune.com) (referenced in YC news) – $61M raise and DoorDash partnership ## Other roles at Giga - [Customer Success Lead (San Francisco)](https://feeny.ai/job/customer-success-lead-san-francisco-giga-san-francisco-kz23h40e3ap1) — San Francisco, CA - [Chief of Staff (Office of the CEO)](https://feeny.ai/job/chief-of-staff-office-of-the-ceo-giga-san-francisco-5r4yvkqj9b3e) — San Francisco, CA - [Senior Forward Deployed Engineer](https://feeny.ai/job/senior-forward-deployed-engineer-giga-san-francisco-32b93zvqbjsv) — San Francisco, CA - [Staff Product Designer](https://feeny.ai/job/staff-product-designer-giga-san-francisco-9zhjfaxt8610) — San Francisco, CA - [Forward Deployed Engineer I/II](https://feeny.ai/job/forward-deployed-engineer-i-ii-giga-san-francisco-zb6k1m24wemt) — San Francisco, CA - [Mobile Engineer](https://feeny.ai/job/mobile-engineer-giga-san-francisco-cnhn84zhatj4) — San Francisco, CA - [Enterprise Sales Development Representative](https://feeny.ai/job/enterprise-sales-development-representative-giga-san-francisco-ay46kd435wcq) — San Francisco, CA - [Founding Engineering Manager](https://feeny.ai/job/founding-engineering-manager-giga-new-york-1qtgssdybmxs) — New York, NY - [QA Lead](https://feeny.ai/job/qa-lead-giga-san-francisco-0g1p9mndrqsw) — San Francisco, CA - [Security Engineer](https://feeny.ai/job/security-engineer-giga-san-francisco-cmnr3bnq5x6s) — San Francisco, CA