Sales Engineering Lead (Agentic AI Platforms)

Hyper-Growth Deep-Tech Pioneer

USA - Remote (Dallas preferred), with enterprise travel

$150k to $165k base + variable (75/25 split)

Edge Tech is working with a hyper-growth, deep-tech innovator that is fundamentally rewriting the rules of enterprise automation.

While the rest of the market is duct-taping basic LLMs onto legacy software, they have built a unified, AI-Native Agentic Automation Platform. GenAI, data processing, and enterprise automation in one environment, already running inside some of the biggest names in aerospace, banking, and healthcare. Profitable since year two. Growing 120% a year. Three household-name software giants have tried to buy them. All were told no.

Now they're making a statement hire: their first ever dedicated US pre-sales lead.

Let's be clear: this is a greenfield build. Today, every US demo, POC, and workshop is covered by a rotation flying in from Europe. You will end that. You'll be the technical firepower beside the US sales team, and the blueprint for the entire function that grows behind you.

What You'll Own:

• The Room: Designing and delivering demos, POCs, and solution workshops that make CIOs lean forward. You take messy client requirements and turn them into "when can we start" moments.
• Deal Firepower: Partnering with AEs across the full cycle on $1m to $7m platform deals. Deep discovery, qualification, solution shaping, technical close.
• Bulletproof Business Cases: ROI narratives anchored in cost reduction, risk mitigation, resilience, and scale. You sell outcomes, and you can defend every number in front of a CFO.
• The Feedback Loop: Acting as the voice of the US market back into product and engineering. What you hear in the field shapes the roadmap.
• The Blueprint: Defining how pre-sales works in the region. Demo environments, playbooks, win themes. As the US team scales, everyone runs your standard.

What They're Looking For:

• 7+ years in pre-sales, solution consulting, or technical sales for enterprise software.
• Platform Pedigree: Hands-on with automation, RPA, low-code, AI, or data platforms (UiPath, Automation Anywhere, Appian, Pega, Workato, or similar).
• Architecture Fluency: Enterprise integration patterns, APIs, and the depth to survive a room full of architects.
• Stage Presence: Gravitas with executives, credibility with engineers, and the storytelling to connect the two.
• Builder Mentality: You'd rather write the playbook than inherit one.

Why This Role is Special:

Most pre-sales roles hand you a demo script. This one hands you a region.

Greenfield function. Enterprise deals in the millions. Direct line to leadership. And the timing: proven tech, hyperscaler partnerships in place, and US demand exploding.

Apply now, or contact Harrison Goode at Edge Tech for a confidential conversation.

Enterprise Sales Executive (Agentic AI Platforms) - Healthcare

Hyper-Growth Deep-Tech Pioneer

USA – Hybrid, SF or Sacramento (with enterprise travel)

$150k base + Uncapped OTE + Equity

Edge Tech is working with a hyper-growth, deep-tech innovator that is fundamentally rewriting the rules of enterprise automation.

While the rest of the market is duct-taping basic LLMs to legacy software, they have built a unified, AI-Native Agentic Automation Platform. They empower global enterprises to replace fragmented, legacy systems with foundational AI infrastructure that drives real, operational transformation.

They are scaling fast and are looking for a heavyweight Enterprise Sales Executive to take ownership of strategic accounts and position their platform as the operational backbone for global enterprises into Healthcare across the US.

Let’s be clear: This is not a transactional SaaS role.

This is complex, high-stakes, multi-stakeholder platform selling. You will be operating at the highest levels of the Fortune 500, navigating complex enterprise environments, and closing massive, transformational deals.

What You’ll Own:

• Hunting: Closing massive, multi-year platform deals in the £400k–£2.5m+ / $500k–$3m+ ACV range.
• The Full Lifecycle: Driving the entire enterprise sales motion: from deep discovery and value shaping, all the way to commercial close and strategic expansion.
• Boardroom Command: Acting as a peer and advisor to the C-Suite. You will engage CIOs, COOs, CFOs, and transformation heads to shape their enterprise AI strategy.
• Strategic Business Cases: Moving beyond feature-selling to build bulletproof commercial cases anchored in cost-reduction, risk-mitigation, resilience, and global scalability.
• Ecosystem Orchestration: Collaborating closely with internal pre-sales, product, and leadership teams, while strategically partnering with major System Integrators (SIs) to land and expand multi-year relationships.

What They’re Looking For:

• 8+ years of heavy-hitting enterprise B2B sales experience.
• Platform Pedigree: Proven success selling foundational enterprise platforms (e.g., Automation / RPA, AI, Machine Learning, Data, or deep Infrastructure).
• Healthcare Expert: A proven background having sold into the healthcare sector across the US.
• Complex Deals: A documented track record of orchestrating and closing highly complex, multi-stakeholder, 7-figure deals.
• Executive Presence: Exceptional consultative selling capabilities. You have the gravitas to walk into a boardroom, simplify complex AI concepts, and clearly communicate massive business value.

Why This Role is Special:

You aren't selling a lightweight "nice-to-have" app. You are selling the definitive Agentic AI infrastructure that global enterprises need to survive the next decade.

Massive deal sizes. Direct access to leadership. The opportunity to sell true transformational tech at the exact moment the market needs it.

Apply now to help shape the future of enterprise AI.

Change Manager - Healthcare AI & Automation

Bolton (2 days a week on site) 

£52,000 - £58,000 base + benefits 

An AI agent now handles one in five inbound patient calls. 

An automation processes referrals end to end across 30 hospitals, with no human touching them. 

A referral backlog has dropped from 1,700 to under 700. 

This is not a transformation programme stuck in Excel. It is live, measured, and expanding.

The company 

A national specialist healthcare provider running hospitals across the UK, treating tens of thousands of patients a year. They are partway through a multi-year AI and automation programme covering everything from patient contact through to theatre, including ambient AI scribes, AI-assisted clinical devices and RFID stock management. The technology side is moving fast. They now need someone to make sure the people side keeps up.

The opportunity

You will sit in the Transformation team, reporting to the Head of Business Improvement, and own the people side of change across the programme. That means change plans, impact assessments, communication, resistance handling, training coordination and adoption measurement. You will work directly with senior leaders, clinical and non-clinical teams, and run networks of change champions across sites. When automation changes how a job works, you are the person who makes sure the humans affected understand why, feel heard, and adopt the new way of working.

Must have

• Led change on technology transformation programmes, with results you can point to
• Working knowledge of a recognised methodology (Prosci, ADKAR, PRINCE2 or Agile)
• Strong stakeholder management, facilitation and communication skills
• Experience running change impact assessments and adoption tracking
• Comfortable with ambiguity and resistance

Nice to have

• Healthcare or other regulated-environment experience
• Degree in Business, Management, Organisational Development or similar
• Exposure to AI or automation-driven change

Interested? 

Apply now to be at the forefront of AI and automation within healthcare.

Enterprise Account Executive (AI & Cloud Platforms)

Hyper-Growth Deep-Tech AI Platform

Hybrid - San Francisco

$150k Base + $150k OTE (uncapped) + Equity + Comprehensive Benefits

Edge Tech is working on behalf of a rapidly scaling deep-tech pioneer that is fundamentally changing how global enterprises adopt AI and automation.

Backed by top-tier capital, having raised $70m+ and experiencing explosive growth, they've built a platform that lets enterprises go from a plain-language description of what they need straight to a working, governed application. No sprawling dev cycles, no dozen fragmented tools stitched together. One engine that builds, deploys, and can even run the work autonomously within the guardrails you set.

They also have a deep strategic partnership with Google Cloud (the platform runs on Google Cloud and is built on Gemini and Vertex AI), giving their sales team joint GTM opportunities and real momentum walking into enterprise accounts.

They're now looking for a high-energy Enterprise Sales Professional to take the platform to the world's largest companies, particularly in regulated, complex-ops sectors like financial services, insurance, and healthcare where governance and audit trails aren't a nice-to-have.

This is about selling a genuinely different way of building enterprise applications. You'll be operating at the highest levels, shaping AI strategy with C-suite executives, and closing multi-year, complex platform deals.

What You'll Own:

• Driving end-to-end sales of the platform, from landing net-new subscription licenses to attaching high-value professional services.
• Building and commanding a high-quality pipeline focused squarely on the C-suite: CIOs, CDOs, CTOs, and global Head of Data/AI.
• Acting as the tip of the spear for the Google Cloud partnership, using joint GTM motions to open doors and accelerate deal cycles.
• Working with solutioning, product, and delivery teams to craft proposals, PoCs, and customer success plans that hold up under scrutiny, especially in regulated environments where governance matters.
• Staying current on AI, cloud, and data modernisation trends to challenge, advise, and influence enterprise customer strategies, and to clearly position the platform against both legacy automation tools and other AI platform plays.

What They're Looking For:

• 5+ years of heavyweight enterprise sales experience, specifically selling cloud, AI, or advanced data/automation platform technologies.
• A documented track record of consistently meeting or exceeding annual enterprise sales quotas.
• Deep experience selling within the Google Cloud ecosystem (highly preferred), or similar experience with AWS/Azure.
• Experience selling into financial services, insurance, or healthcare is a strong plus, given the governance and compliance angle of the platform.
• Exceptional communication and presentation skills. You know how to translate deep-tech capabilities, agentic execution, governance, audit trails, into business value for both technical and commercial stakeholders.
• A relentless, self-starter mindset.

Why This Role is Special:

This isn't another SaaS point solution in a crowded market. Our client's platform is a genuine platform play at a moment when every Fortune 500 company is trying to figure out its AI strategy, and needs governance built in rather than bolted on afterwards.

You'll have the backing of a strong product, a real hyperscaler partnership, and a culture where your wins directly move the needle on where the company goes next.

Apply now to help shape the future of enterprise AI.

 Senior / Staff Full-Stack Engineer - AI Desktop Platform

📍 San Francisco, CA (5 Days In-Office)
💰 $200K - $300K Base + Competitive Equity
🛂 Visa Sponsorship Available (H-1B Transfers, OPT, TN Welcome)

I'm partnering with a high-growth AI company that's building one of the most exciting AI-native desktop experiences in the productivity space.

Their AI assistant doesn't just answer questions. It sees everything on your screen, understands context across every app you use, and helps you work 10x faster. Following a $40M Series A led by Khosla Ventures and exceptional user growth, they're expanding their engineering team and hiring multiple Senior and Staff Full-Stack Engineers to help build the platform behind this revolutionary desktop assistant.

This is an opportunity to work at the intersection of desktop software, native development, and AI integration, building a cross-platform application that's redefining how knowledge workers interact with their computers.

What You'll Do

You'll take ownership of core platform capabilities that power the AI assistant experience, working closely with product, AI, and infrastructure teams.

Key responsibilities include:

Designing, building, and maintaining core features of an Electron desktop application that works across Windows and macOS.
Owning end-to-end implementation of user-facing and infrastructure features, from modern TypeScript frontends to native system-level integrations.
Developing and integrating LLM-based functionality that powers screen context awareness, call transcription, and intelligent automation.
Collaborating on native code written in C++ (Windows) and Swift (macOS).
Architecting systems for performance, reliability, and seamless user experience at scale.
Helping make architectural decisions and contributing to the technical direction of the company.

What We're Looking For

We're looking for engineers who have built and shipped production software at startup speed, not just maintained legacy systems.

You'll ideally have:

5-10 years of software engineering experience, with a strong backend or full-stack leaning.
Experience building products from 0 to 1 or helping scale products through periods of rapid growth in an early-stage, hypergrowth environment.
Strong experience with TypeScript and Node.js; React experience is a plus.
Experience with Electron, C++, or Swift is highly beneficial.
A product mindset with the ability to balance technical excellence with business impact.
A genuine passion for AI. You read research papers, build side projects with LLMs, or have passion projects in the space.
Startup or founder experience showing end-to-end delivery on AI-native tools is a strong plus.

Why Join?

This is a chance to join a business with exceptional momentum. Highlight AI just raised a $40M Series A from Khosla Ventures, with participation from General Catalyst, Valor Equity, SV Angel, and others. They're planning to double headcount and are in hypergrowth mode.

You'll solve challenging engineering problems at the intersection of desktop software and AI, work alongside a high-calibre team, and have a genuine opportunity to influence the architecture of a category-defining AI product.

If you're passionate about full-stack engineering, native desktop development, and building production AI products, I'd love to hear from you.

Founding Machine Learning Engineer - AI Consumer Platform

📍 San Francisco, CA (5 Days In-Office)
💰 $200K - $375K Base + Competitive Equity
🛂 Visa Sponsorship Available for the Right Candidate

I'm partnering with a high-growth consumer AI company that's building one of the most exciting AI-native platforms in the dating and personal connection space.

Their AI doesn't just match profiles. It combines voice transcripts, images, and structured user data to create personalized AI companions and predict human compatibility with unprecedented accuracy. Following a recent seed round and rapid user growth to 10,000 users in San Francisco, they're expanding their engineering team and hiring a Founding Machine Learning Engineer to build the recommendation engine and agentic systems behind their platform.

This is an opportunity to work on end-to-end ML systems, recommendation engines, and AI infrastructure while helping shape a product that's redefining how people find real human connections.

What You'll Do

You'll take ownership of core ML capabilities that power Known's intelligence, working directly with the former head of ML at Uber Eats and Faire.

Key responsibilities include:

• Training and deploying ML models that form the core of our recommendation engine, driving personalized matchmaking at scale.
• Designing evals to assess recommendation ability and RL systems to learn from results data.
• Building personalization and long-term memory systems into Known's conversational AI.
• Using LLMs to enhance our suite of user-facing AI Agents.
• Owning the end-to-end lifecycle of your models, from ideation and training to deployment and monitoring.
• Working with an ultra-personal dataset combining voice transcripts, images, and structured user data to predict human compatibility.

What We're Looking For

We're looking for engineers who have built and operated production ML systems at consumer startups - not just supported infrastructure at big tech companies.

You'll ideally have:

• 4-8 years of experience training and deploying ML models in production, leveraging PyTorch and TensorFlow.
• Experience building recommendation or matchmaking systems at consumer companies (e.g., Uber/Lyft routing, apartment finding, Google Maps routing, autonomous vehicles). NOT looking for ads ranking experience.
• Experience at an early-stage company (under 50 employees) and/or being the first or second ML hire at an early-stage company. Big tech is only acceptable if you also have early-stage startup experience.
• Experience with neural network models and applying or fine-tuning LLMs to build agentic systems or complex conversational AI.
• Experience with model deployment and basic infrastructure (e.g., Docker, Kubernetes, AWS/GCP).
• A desire to build intelligence that could lead to a million marriages and babies.
• Proficiency in Python/TypeScript and comfort with ML frameworks (PyTorch/TensorFlow).

What We're Not Looking For

Background solely in big tech 

Primarily ad ranking or ad systems ML background.

Purely MLOps/infra focused without recommendation systems modeling experience.

Over-indexed on RAG/data pipelines without personalization work.

PhD-only career with no applied industry experience.

Why Join?

This is a chance to join a consumer AI company with exceptional momentum, strong product-market fit, and ambitious growth plans. They're sprinting toward Series A and have a clear path to scaling.

You'll solve challenging ML problems, work alongside a high-calibre team, and have a genuine opportunity to influence the architecture of a category-defining AI platform that helps real people find real human connections. No swiping, just real dates and proven chemistry.

If you're passionate about machine learning, recommendation systems, and building production AI platforms at consumer startups, I'd love to hear from you and please apply.

Founding Full Stack Engineer (Applied AI)

📍 California (Remote - SF Bay Area Preferred)
💰 $160K - $250K Base + Competitive Equity
🛂 Visa Sponsorship Not Available (Open to TN Visas)

I'm partnering with a high-growth AI company that's building one of the most exciting AI-powered customer lifecycle management platforms in the enterprise software space.

Their AI agents don't just answer questions. They rebuild customer operations from the ground up, orchestrating the perfect blend of digital and human touchpoints to enable high-touch service at scale. Following a $4M seed round from Acrew Capital and Emerson Collective, with angels from LinkedIn, BetterUp, Glean, Scale AI, and Gusto, they're expanding their engineering team and hiring a Founding Full Stack Engineer to help shape their product and culture from the ground up.

This is a founding-team seat. You'll work directly with enterprise customers, own product and infrastructure areas end-to-end, and have a significant influence on the product roadmap and company strategy.

What You'll Do

You'll take ownership of core platform capabilities that power AI-powered customer lifecycle management, working directly with the CTO and co-founders.

Key responsibilities include:

• Building and maintaining backend services and APIs (Python, FastAPI) and frontend experiences (React) across the full stack.
• Working directly with enterprise customers to understand use cases and co-build custom AI agents and workflows.
• Owning product and infrastructure areas end-to-end, from problem identification to shipping, including architectural decisions.
• Collaborating closely with the co-founders and having a significant influence on the product roadmap and company strategy.
• Operating in a fast-paced, ambiguous environment, taking ownership of outcomes from problem identification to shipping features.

What We're Looking For

We're looking for a generalist engineer who can work across the full stack, interface with customers, and help shape our product and culture from the ground up.

You'll ideally have:

• 5-7 years of experience in full-stack software engineering.
• Experience at an early-stage, VC-backed (Seed to Series B) startup.
• Experience at a large, well-known tech company (e.g., Google, Meta, etc.) in addition to startup experience.
• Strong backend development experience with Python and FastAPI.
• Experience with React or equivalent modern frontend framework.
• Experience or strong interest in applied AI.
• Strong communication skills - can interface directly with enterprise customers and translate requirements into features.
• A demonstrated promotion history in at least one previous role.
• BS/MS in Computer Science, Engineering, or related technical field.
• California-based strongly preferred (SF Bay Area ideal).

What We're Not Looking For

• Multiple short stints (<1 year) at different companies.
• Specialized experience only in ML, data science, or DevOps.
• Long tenure (5+ years) at a single big tech company with no career progression.
• Heavily UI/UX-focused backgrounds without strong backend capability.
• No LinkedIn profile picture.

Why Join?

This is a chance to join a business tackling the right problem at the right moment. Most AI investment has gone to support chatbots and pre-sales prospecting. Cora is tackling the messy middle - long-running AI agents for post-sales lifecycle management (onboarding, QBRs, renewals, churn).

You'll work with a 3rd-time founder who scaled eng orgs to 100+ engineers. Backed by Acrew Capital and Emerson Collective with angels from LinkedIn, BetterUp, Glean, Scale AI, and Gusto. Real traction with customers including BetterUp, Fountain, Dialpad, Coursera, and more.

You'll have high-level ownership, own large chunks of product and infra, make real architectural decisions, and shape engineering culture. Weekly feedback loops, fast promotions, and deep exposure to cutting-edge applied AI - voice agents, memory systems, knowledge graphs, agentic workflows.

If you're passionate about full-stack engineering, applied AI, and building enterprise products at a founding-stage company, feel free to apply.

Sr AI Agent Engineer - Founding Team Seat
📍 Remote (US-Based)
💰 $180K - $220K Base + Meaningful Founding-Team Equity (Up to 1%+)
🛂 Visa Sponsorship Not Available

I'm partnering with a high-growth AI-native FP&A platform that's building one of the most exciting agentic AI systems in the enterprise software space.

Their AI agents don't just answer questions. They reason across structured financial data, business context, documents, and user instructions to deliver reliable, accuracy-critical outputs for multi-unit businesses. 25% of the nation's workforce operates inside brick-and-mortar buildings, and yet there is no technology purpose-built to support them. Following strong traction with PE-backed beta customers and a $4M+ oversubscribed seed round from General Catalyst and ENIAC Ventures, they're expanding their engineering team and hiring a Sr AI Agent Engineer to build the agentic core of their platform.

This is a founding-team seat. The equity, ownership, and influence reflect that. You will be in the room when we decide what to build, you will own how it gets built, and you will be expected to push back when you disagree.

What You'll Do

You'll take ownership of the agentic core of the platform, working directly with the CEO and co-founder to turn complex financial use cases into intuitive AI-powered experiences.

Key responsibilities include:

• Designing, building, and shipping the agentic core using TypeScript/Bun with Mastra, turning structured financial data and customer context into reliable AI outputs.
• Creating agentic systems that reason across structured financial data, business context, documents, and user instructions.
• Developing robust tool-calling, planning, memory, retrieval, and orchestration layers for production AI agents.
• Connecting agents to internal data sources, third-party APIs, databases, documents, and business logic.
• Building guardrails, validation systems, and evaluation workflows to improve accuracy, reliability, and trustworthiness.
• Working closely with product, engineering, and founders to turn complex financial use cases into intuitive AI-powered product experiences.

What We're Looking For

We need a senior engineer (5+ years) who has personally built and shipped a complete AI agent system in production - not a prototype, a demo, an internal tool, or a thin wrapper around an LLM API. You've owned the harness end-to-end: orchestration/planning, tool-calling, memory, retrieval/RAG, evaluation, and guardrails - with real users relying on what you shipped. Building only one slice, or agent work that never reached production, is not enough for this seat.

You have a real software engineering foundation underneath - systems design, debugging, architectural judgment - and you're ready to operate at founding intensity.

You'll ideally have:

• 5+ years of software engineering experience with strong TypeScript proficiency.
• Personally built and shipped a complete AI agent system in production, owning the full harness end-to-end (orchestration, tool-calling, memory, retrieval, evaluation, guardrails).
• Experience with LLM orchestration, structured outputs, function calling, embeddings, and RAG.
• Experience with prompt engineering and validation systems for reliable AI outputs.
• Startup experience - bonus if early stage (founding team, first 10-20 engineers, or own startup) - operated without structure.
• A technical undergraduate degree (CS, data science, or similar) from a top US university.
• AI agent experience in a domain that transfers - reasoning over structured data, memory, orchestration, multi-step workflows, or accuracy-critical outputs.
• Mastra framework experience is a strong plus.

What We're Not Looking For

Currently in an engineering manager role and no longer coding daily.

AI agent experience confined to non-transferable domains with no other production agent work (e.g., blockchain/Web3, voice-AI/IVR).

Experience focused solely on one slice of the agent harness without end-to-end ownership.

Why Join?

This is a chance to join a business with exceptional momentum. The CEO scaled a multi-unit business to 1,000+ employees and exited to private equity. The co-founder co-founded Veho Technologies (valued at $2B) and has multiple tech exits. They're a mature founding team - not first-time founders figuring things out.

Backed by General Catalyst and ENIAC Ventures. Round was oversubscribed with ~10 term sheets. Several years of runway.

This is a founding-team seat with meaningful equity (up to 1%+ for the right person). You'll sit alongside the CEO and co-founder as the AI horsepower of the business. Direct access to founders, flat structure, no management layers. If you want it, you'll interface with some of the largest PE funds in the world (TPG, General Atlantic, GTCR, Warburg Pincus).

You'll solve challenging AI engineering problems, work alongside a high-calibre team of experienced builders, and have a genuine opportunity to shape the architecture of a category-defining AI platform.

If you've built and shipped complete AI agent systems in production and are ready for founding-team ownership, I will be waiting for your application.

Account Executive

AI Startup

£75k + Double OTE (£150k) + Equity

London

The Company

We're working with a fast-growing AI startup that's changing how businesses manage and grow their client relationships.

Having recently secured £2.5 million in seed funding, they're building out their commercial team ahead of a planned Series A next year. With around 30 customers already on board and strong market demand, this is an opportunity to join at an exciting stage of growth.

The business has developed an AI platform that analyses emails, meetings, Slack conversations and other customer interactions to give businesses a real-time view of account health.

Instead of relying on manual CRM updates or guesswork, their platform identifies which customer relationships are growing, where commercial risks exist, and where expansion opportunities can be found. It helps customer-facing teams make better decisions using live data rather than outdated information.

Their sales function has been founder-led until now, but they're now investing heavily in building a scalable go-to-market team.

The Role

As an Account Executive, you'll take ownership of the full sales cycle, managing deals typically worth between £15,000 and £50,000.

This is a genuine opportunity to help shape how the business sells. You'll work directly with the founders, influence the sales process, and partner closely with two Founding SDRs who are joining the business at the same time.

Responsibilities include:

• Owning the full sales cycle from prospecting through to close
• Generating your own pipeline alongside SDR support
• Running discovery meetings and building compelling business cases
• Managing multiple stakeholders throughout the sales process
• Working closely with the founders to refine the go-to-market strategy
• Providing market feedback to influence product and commercial direction

About You

You'll ideally have:

• 2 to 5 years' experience selling B2B SaaS solutions
• Experience running complex sales cycles from start to finish
• A track record of creating your own pipeline
• Strong discovery and qualification skills
• Confidence selling to multiple decision-makers
• A commercial mindset with the ability to demonstrate ROI
• The ambition to join an early-stage company where you can help build the sales function

What's on Offer

• £75,000 base salary
• £150,000 OTE
• Genuine opportunity to influence GTM strategy
• Direct access to founders and senior leadership
• Early-stage equity opportunity
• Office based in Central London, near Tottenham Court Road

If you're looking for more ownership, greater influence, and the chance to help build a high-growth AI business from an early stage, apply now!

Software Engineer (Backend)

📍 San Mateo, CA (Hybrid)
💰 $165,000 - $265,000 Base + Equity
🛂 Visa Sponsorship Available (Case-by-Case)

Our client is building cutting-edge infrastructure that enables organizations to run and scale AI workloads across multiple cloud environments with greater flexibility, reliability, and efficiency.

They are seeking a Backend Engineer to help build the distributed systems and cloud infrastructure powering the future of AI computing.

What You'll Do

• Design and build scalable backend infrastructure services
• Develop cloud-native systems for large-scale AI workloads
• Improve orchestration, scheduling, reliability, and resource management capabilities
• Work on distributed systems operating across multiple cloud providers
• Collaborate closely with customers and engineering teams to solve infrastructure challenges

What We're Looking For

• 3+ years of backend engineering experience
• Strong distributed systems and cloud infrastructure background
• Experience with Python and/or Go
• Familiarity with Kubernetes and infrastructure technologies
• Passion for building scalable developer and infrastructure platforms

Tech Stack

Python • Go • Kubernetes • Terraform • AWS • GCP • Azure

Interested candidates are encouraged to apply and share examples of cloud platforms, infrastructure systems, or distributed services they have built and scaled.