Cadre Inc
Location:
San Francisco (100% In-Office) Experience:
3+ years Salary:
$150K - $300K • Offers Equity About Us
At GigaML, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers. Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We've deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors. With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we’re on track to power the next trillion voice interactions. Why Join Us?
Momentum:
Be a part of a team that has seen validation from both customers and investors alike
Ownership:
Be a key contributor to cutting‑edge ML projects transforming industries and influence the company’s technical direction
Growth:
Develop yourself alongside top‑tier engineers and Founders
About the Role
We’re seeking a Forward Deployed Engineer to join our San Francisco team. You'll serve as the technical interface between GigaML and our customers, building and deploying sophisticated AI‑driven solutions at scale. What You’ll Do:
Lead customer engagements from start to end : run discovery calls & demos, align business/technical stakeholders on milestones, and serve as the primary PoC who drives meetings and removes blockers.
Design & ship production‑ready AI agents : work with large‑scale data, write backend code, build integrations, and deploy to cloud infrastructure.
Own the full agent development life cycle : prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices to speed up future projects.
Troubleshoot, optimize, and harden solutions : dive deep to tune models, debug live issues, and enforce guardrails for reliability, latency, and security.
Close the feedback loop with product & platform : capture unmet needs, prototype new features, and collaborate with core teams to strengthen the platform for all customers.
Who You Are / Must‑Haves:
Exceptional Engineer : Strong experience in Python
Interpersonally Acumen : Able to solve problems in a people‑centric manner and communicate effectively, with experience in customer‑facing roles
Strong Background : Degree from a top‑tier engineering program (weighed more heavily when total YOE is lighter)
Entrepreneurial : Preference for candidates with experience at successful startups — former founders are especially valued
Gritty : Capable of working long productive hours
Experienced : 3-5 years of hands‑on engineering experience
Perks & Benefits
Extremely competitive total compensation
Equinox membership
Wellness allowance
Full health, dental, and vision coverage
On‑demand snacks, meals, and coffee to keep you fueled
Interview Process
Screening call w/ recruiting lead (20 min)
Intro call w/ CEO (15 min)
Live coding round w/ CTO or Founding Engineer (1 hr)
In‑office interview (full day)
#J-18808-Ljbffr
San Francisco (100% In-Office) Experience:
3+ years Salary:
$150K - $300K • Offers Equity About Us
At GigaML, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers. Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We've deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors. With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we’re on track to power the next trillion voice interactions. Why Join Us?
Momentum:
Be a part of a team that has seen validation from both customers and investors alike
Ownership:
Be a key contributor to cutting‑edge ML projects transforming industries and influence the company’s technical direction
Growth:
Develop yourself alongside top‑tier engineers and Founders
About the Role
We’re seeking a Forward Deployed Engineer to join our San Francisco team. You'll serve as the technical interface between GigaML and our customers, building and deploying sophisticated AI‑driven solutions at scale. What You’ll Do:
Lead customer engagements from start to end : run discovery calls & demos, align business/technical stakeholders on milestones, and serve as the primary PoC who drives meetings and removes blockers.
Design & ship production‑ready AI agents : work with large‑scale data, write backend code, build integrations, and deploy to cloud infrastructure.
Own the full agent development life cycle : prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices to speed up future projects.
Troubleshoot, optimize, and harden solutions : dive deep to tune models, debug live issues, and enforce guardrails for reliability, latency, and security.
Close the feedback loop with product & platform : capture unmet needs, prototype new features, and collaborate with core teams to strengthen the platform for all customers.
Who You Are / Must‑Haves:
Exceptional Engineer : Strong experience in Python
Interpersonally Acumen : Able to solve problems in a people‑centric manner and communicate effectively, with experience in customer‑facing roles
Strong Background : Degree from a top‑tier engineering program (weighed more heavily when total YOE is lighter)
Entrepreneurial : Preference for candidates with experience at successful startups — former founders are especially valued
Gritty : Capable of working long productive hours
Experienced : 3-5 years of hands‑on engineering experience
Perks & Benefits
Extremely competitive total compensation
Equinox membership
Wellness allowance
Full health, dental, and vision coverage
On‑demand snacks, meals, and coffee to keep you fueled
Interview Process
Screening call w/ recruiting lead (20 min)
Intro call w/ CEO (15 min)
Live coding round w/ CTO or Founding Engineer (1 hr)
In‑office interview (full day)
#J-18808-Ljbffr