Qureos Mentor

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive base + bonus + equity
 </li>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $500/month wellness &amp; commuter benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 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.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Are graduating (or recently graduated) with a CS degree or equivalent background
 </li>
 <li>
 Have internship experience or significant projects where you wrote production-quality code
 </li>
 <li>
 Can take a problem, figure out an approach, and unblock yourself when you get stuck
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to work at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 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.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer (New Grads)

<div>
 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!
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 Engineering-first AI companies don't get attention by accident. They get it because someone is highly online, posting deliberately, day after day. We're hiring a Social Content Manager to own X and LinkedIn end-to-end: the posts, the POV, and the measurement of what resonates. The judgment lives with you &mdash; this is not a brand-voice-by-committee role.
 
 
 What You'll Own
 
 
 <ul>
 <li>
 Daily content output across X and LinkedIn (50%): Original posts, threads, replies, comment-baiting on adjacent accounts, and derivative drops from flagship engineering posts on a weekly cadence. Stack: native tooling + AI-assisted drafting. Quality control: every post tied to a hypothesis (why this hook, this audience, this hour) and tracked against it.
 </li>
 <li>
 Editorial POV &amp; voice ownership (30%): What Giga does post, what we explicitly don't, how we sound. A short list of content we don't ship and the specific, technical, slightly contrarian stance that separates us from generic AI thought leadership.
 </li>
 <li>
 Performance learning &amp; iteration (20%): Weekly readout on what worked and what didn't, fed back into the editorial calendar. Measured on engagement quality (saves, replies from target accounts, profile visits from named companies) over vanity volume.
 
 
 </li>
 </ul>
 Who You Are
 
 
 You are highly online &mdash; you can name three accounts that posted something interesting this week and explain why. You've built a social presence (your own or a brand's) that earned attention without buying it. You ship at high cadence and have opinions on what makes B2B SaaS social bad. You can find the post hidden inside a customer email, a sales call transcript, or a Slack thread. You move fast with AI tools but the judgment is yours.
 
 
 Where You Might Come From
 
 
 In-house social leads at engineering-first companies (Vercel, Linear, Anthropic, Notion). Indie creators or writers with a tech audience. Founders or early operators who built a personal brand worth following. Earlier-career candidates who are exceptionally sharp, fast, and digitally fluent.
 
 
 Perks &amp; Benefits
 
 
 <ul>
 <li>
 Catered lunch daily + dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 Medical, dental, and vision coverage
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Paid parental leave (12 weeks maternal, 6 weeks paternal)
 </li>
 <li>
 Commuter benefits
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
 
 
 How to Apply
 
 
 Send links to three things you've published online that you're proud of. One sentence on why each.
 
 
 Compensation Range: $100K - $180K
 
 
</div>

Social Content Manager

Join Giga and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Giga

About Company

Software Engineer I / II

Software Engineer (New Grads)

Social Content Manager