Own end-to-end customer deployments of applied AI agents: scope integrations, configure and tune playbook/signals/automation/voice agents, run demos and trainings, partner with account executives, and drive product feedback and expansion across enterprise customers.
Who we are
The role
Why you should join
We’ll be most excited if you have
Alpharun is an applied AI company helping enterprise leaders in mortgage, insurance, and healthcare industries. Our platform turns the behaviors of top sellers into AI Playbooks, coaches every rep against those standards, and deploys autonomous voice agents to execute repeatable workflows.
Under the hood, Alpharun is a performance platform with a growing suite of agents. A playbook agent that analyzes call recordings and scores them against a customer's standards, a signals agent that extracts and applies metadata to every call, an automation agent that fires notifications the moment a call matches a prompt, a voice agent that executes live workflows end to end, and a training roleplay agent that lets reps rehearse against realistic scenarios.
As an Applied AI Solutions Engineer, you'll report to the Head of AI Solutions & Success and own the full customer journey, from partnering with Account Executives to win enterprise deals, through implementation and deployment, and into the continued success and expansion of every agent we put into production. You'll deploy, configure, and tune all of these agents for the customers you own.
This is a high-leverage role for someone who wants to build a transformative product alongside customers, not simply inherit a playbook. You'll develop deep expertise in our customers' businesses and systems, and you'll be the technical center of gravity for the relationship and the feedback loop back into our product. In a single week you might scope a new integration, configure a signals agent, build a voice agent, wire up an automation flow, run a customer demo, write a one-pager, and lead a hands-on training. This role is not built for someone who wants to stay in one lane. If that reads as a great week rather than a draining one, we should talk.
Why you should join
- Team: We're a tight-knit, ambitious team working together in our San Francisco office five days a week. Our founders, Paul and Henry Dornier, are twins and second-time founders who previously sold their first company before leading product, engineering, and marketing teams at Front.
- Rapid growth: Revenue growth has grown over 10x in the past 6 months.
- Category-defining product: You'll build and deploy at the intersection of AI, revenue performance, workforce enablement, and customer-experience automation.
- Ownership: As an early member of the solutions team, you'll have meaningful influence over our customers' success, our product roadmap, and the company we build.
- Compensation: Compensation is structured as on-target earnings (OTE) with an 80/20 base to variable split. The variable portion is tied to the revenue performance of the company, so the majority of your pay is stable while your upside grows directly with Alpharun.
This role is intense but immensely rewarding, ideal for someone with exceptional ambition, a bias toward action, real technical range, and a desire to build an enduring enterprise company.
- 4 to 6 years in a technical, customer-facing role such as Solutions or Sales Engineer, Forward Deployed Engineer, Solutions Architect, technical CSM, PM, or founder, where you personally owned enterprise deployments from first demo through signed contract to live in production.
- A habit of building your own leverage. You've written Claude skills, internal tools, or automations that made your team dramatically faster, because you saw the bottleneck and removed it without being asked.
- Hands-on technical range. You've stood up integrations across telephony and CRM systems, wired up APIs and webhooks, and shipped prompt-engineered agents that held up under real production volume.
- The instinct to turn a vague customer requirement into a working deployment. You can sit in a room, extract the real problem behind the stated one, and leave with something you can build.
- Customer-facing communication that lands. You've written the one-pager, readout, or business case that an executive actually used to make a decision.
- The range to earn trust with a skeptical engineer and a CRO in the same afternoon, and to partner closely with an Account Executive to win the deal.
- Deep curiosity about AI and the ability to become fluent in a technical, rapidly evolving product.
We've already found product-market fit. Now we're pouring gasoline on the fire, and this is one of the most important hires in how we scale.
We're looking for builders who are obsessed with delivering customer value, resourceful enough to make progress without a clear roadmap, and eager to own outcomes end to end. Some of that shows up as experience and some of it shows up as raw potential, and we care about both. If that sounds like you, we want to hear from you.
Alpharun San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Prospect restaurants within a local territory, manage the full sales cycle, conduct product demonstrations, customize Toast solutions, negotiate and close deals, and maintain sales activities in Salesforce. The role partners cross-functionally to ensure delivery expectations are met, monitors the competitive landscape, and requires reliable transportation for field sales work.
Top Skills:
Salesforce
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Own the vision, roadmap, prioritization, and delivery of endpoint management and security capabilities. Define features, workflows, requirements, and remediation experiences that help IT teams and MSPs identify and reduce endpoint risk. Collaborate with engineering, design, support, customers, and other product managers to understand market needs, deliver cohesive platform capabilities, and iterate using customer feedback and usage data.
Top Skills:
AutomationB2B SaasEndpoint ManagementLinuxmacOSScriptingWindows
28 Minutes Ago
Easy Apply
Easy Apply
Aerospace • Hardware • Robotics • Software • Manufacturing
Leads immersion ultrasonic testing technique development, qualification, automated inspection programming, data evaluation, and continuous improvement for aerospace propulsion parts. Develops part-specific procedures, collaborates with NDE engineers and inspectors, mentors less experienced personnel, interfaces with stakeholders and vendors, troubleshoots equipment, and ensures inspections meet acceptance criteria and applicable aerospace standards.
Top Skills:
AmsAstmAws/AsmeCadFull Matrix Capture (Fmc)Immersion Ultrasonic Testing (Iut)ExcelMicrosoft PowerpointMicrosoft WordNas 410Nasa StandardsPhase Coherence Imaging (Pci)Phased Array Ultrasonic Testing (Paut)Plane Wave Imaging (Pwi)Snt-Tc-1ATotal Focusing Method (Tfm)Ultrasonic Testing (Ut)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
