---
title: 'Senior Forward Deployed Engineer at Giga'
canonical: 'https://feeny.ai/job/senior-forward-deployed-engineer-giga-san-francisco-32b93zvqbjsv'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Forward Deployed Engineer at Giga

- **Company:** Giga
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/gigaml/d9a89446-1f1a-49c1-8df4-ae67aafe39bb

## Job description

## 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 hiring Senior Forward Deployed Engineers as we scale our FDE organization. This is a senior individual contributor role — for engineers who want to stay engineers: you'll be the technical anchor of a pod of FDEs, own our most complex enterprise deployments, and build the tooling and practices that make every deployment after yours faster. Your impact spans the org — the systems, patterns, and standards you build become how every pod operates. You'll operate with real autonomy — architecture decisions, live production debugging, direct engagement with customer engineering leadership. No direct reports: your leadership shows up in code, design reviews, the engineers you level up, and an FDE org that gets epsilon better every day because you're in it.

## What You'll Do

- Own the hardest deployments end-to-end. Architect agent systems for Fortune 500 environments, build enterprise integrations, and make the scope/speed/quality trade-off calls that ship production agents on aggressive timelines.
- Be the technical anchor of your pod. Set the engineering bar through design and code reviews, mentor FDE I/II engineers, and serve as the escalation point for the hardest live issues — real-time voice latency, telephony edge cases, integration failures, agent quality regressions.
- Build leverage, not just deployments. Create the eval harnesses, deployment tooling, debugging infrastructure, and reusable patterns that compound across every pod.
- Drive the product feedback loop. Turn deployment learnings into prototypes and concrete asks, and work directly with core engineering to land platform improvements.
- Face the customer as a technical peer. Run architecture discussions with customer engineering leaders and be the person they trust when production breaks.

## Who You Are

- Strong engineering foundation. 5+ years of production software engineering, ideally at companies known for high engineering bars. You've shipped and operated real systems at scale.
- Deep on the stack. Expert in Python, APIs, cloud infrastructure, CI/CD. You debug distributed systems under pressure and learn new integration surfaces quickly.
- AI-native. Hands-on with LLM agent systems — orchestration, tool calling, evals, context engineering — and the latency budgets real-time voice demands (or the chops to ramp fast).
- Customer-tolerant. You can sit across from enterprise stakeholders, translate ambiguity into a plan, and stay calm when production is on fire in front of them.
- High agency. You find the highest-leverage problem and go, with limited or no guidance.

## Nice to Have

- Prior forward deployed / solutions engineering at an AI or enterprise software company
- Real-time voice or conversational AI experience
- Early-stage startup experience

## 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
- [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
- [Software Engineer I / II](https://feeny.ai/job/software-engineer-i-ii-giga-new-york-324xvhe7rc8h) — New York, NY