Valon Logo

Valon

AI Product Strategist, New Ventures

Posted 5 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in USA
130K-250K Annually
Senior level
Remote or Hybrid
Hiring Remotely in USA
130K-250K Annually
Senior level
Lead end-to-end client engagements to design, build, and ship AI agent workflows and automations. Convert ambiguous AI mandates into sequenced initiatives, prototype and deploy solutions, manage stakeholder change, document learnings to inform product strategy, and help build the operating model for this new function.
The summary above was generated by AI
About the Company

Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing.
We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate.
Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries.
The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry.
ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.

The Opportunity

Valon builds ValonOS, the AI-native operating system for mortgage servicing. We service millions of homeowners and we're expanding how we bring AI to the broader financial services industry.

Here's what's happening: our clients and partners aren't just asking us to service their loans — they're asking us to help them fundamentally rethink how their operations work using AI. Leaders in industries outside of mortgage servicing are doing the same. Not "add a chatbot." Transform the business.

We're building a team to do exactly that. You'll be embedded onsite with clients and with new markets we are entering, converting vague "we need AI" mandates into sequenced execution plans, and then building and shipping the AI solutions yourself. Every engagement deepens our understanding of how these industries actually work — context that compounds into Valon's platform over time.

This is a founding team. You'll be one of the first 5 people defining how this function operates, what the playbook looks like, and how it scales. The first engagements are already signed.

This is not a consulting role. You're not writing decks. You're not advising. You're building AI agent workflows, shipping working solutions, and owning business outcomes. If something breaks at 9pm on a Tuesday, it's yours.

This is not a remote role. You'll be embedded at client sites for extended periods — weeks to months at a time. Think Palantir forward-deployed model. If you want to work from home, this isn't for you.

What You'll Actually Do

Run the engagement, end to end. You own the client relationship, the execution plan, and the outcomes. No project manager above you. No account executive handling the relationship. You're it.

Turn ambiguity into action. Clients will say "we need AI for collections" or "help us figure out how to use AI." You'll decompose that into sequenced initiatives with owners, dependencies, milestones, and success metrics — then execute against them.

Build AI solutions yourself. You'll independently design and build agent workflows, automations, and AI-powered tools. You're not spec'ing work for an engineering team — you're prototyping, testing, and shipping. You need to be fluent in LLM orchestration, comfortable with APIs, and capable of going from problem identification to working demo without support.

Manage organizational change. AI transformation scares people. You'll navigate resistance, address "is AI taking my job" fears directly and credibly, and build trust with operators and executives alike.

Capture context that compounds. Every engagement teaches us something about how an industry works. You'll document learnings in structured ways that inform Valon's product strategy and make the next engagement faster.

Shape a new function. This team doesn't exist yet. You'll help define the operating model, the engagement playbook, hiring criteria for future teammates, and what "great" looks like.

What We're Looking For

You've led complex, ambiguous initiatives end to end. Not "contributed to" — led. You were the person accountable for the outcome, and you drove it from unclear problem to shipped result. This could have been at a startup, a consulting firm, a forward-deployed tech company, or something you built yourself.

You build with AI, not just talk about it. You've independently built agent workflows, automations, or AI-powered tools. You're fluent in current LLM capabilities and limitations. You can evaluate whether a problem is best solved with an agent, a workflow, a fine-tuned model, or a simple prompt chain — and then build it. We'll ask you to demonstrate this in the interview.

You're a structured thinker who operates in chaos. You can take a vague, high-stakes problem and decompose it into a sequenced plan with clear dependencies. But you also thrive when the plan changes — because it will, constantly.

You're credible in a room of executives and operators. You'll be embedded at client sites without a Valon team around you. You need to command trust quickly, speak with authority, and manage senior stakeholders who may be skeptical, scared, or both.

You want to build something new, not optimize something existing. This role is for people who get energy from ambiguity, not anxiety. If you need a well-defined role with clear guardrails, you'll be miserable here.

Backgrounds That Tend to Fit

We care about evidence of the traits above, not pedigree. That said, people with these backgrounds often have the right muscle memory:

  • Forward-deployed engineers or deployment strategists (Palantir, Anduril, Scale AI)

  • MBB consultants who chose the digital/AI practice AND build with AI outside of work

  • Technical founders or early operators at B2B startups (fintech, healthcare, logistics)

  • PMs at AI-native companies who've shipped customer-facing AI products (not consumer tech)

  • Independent AI consultants or builders who want a platform and team behind them

  • Technical program managers or Chiefs of Staff at high-growth startups who also build

What won't work here:

  • Pure strategists who don't build

  • "AI-curious" but no evidence of hands-on building

  • Needs clear structure and defined scope to be productive

  • Uncomfortable being the only Valon person in the room

Logistics

Location: Embedded onsite at client sites (currently East Coast / Pacific Northwest). Home base flexibility, but expect significant travel.

Comp: Competitive base + equity in a Series C company scaling rapidly. This is a senior IC / founding team member role — comp reflects that.

Reports to: CEO/COO

Start date: As soon as possible. Engagements are already signed.

Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to [email protected] if you have any requests to verify the authenticity of an outreach.

Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Top Skills

Llm Orchestration,Llms,Apis,Agent Workflows,Ai Agents,Fine-Tuned Models,Prompt Engineering,Valonos

Similar Jobs

58 Minutes Ago
Remote or Hybrid
Richmond, VA, USA
57K-65K Annually
Junior
57K-65K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
Provide high-touch dining concierge services for high-net-worth clients: secure prime reservations, develop relationships with top-tier restaurants and nightlife venues, source weekly content ideas, and support evenings/weekends in a fast-paced team environment.
58 Minutes Ago
Remote or Hybrid
Richmond, VA, USA
67K-76K Annually
Entry level
67K-76K Annually
Entry level
Fintech • Machine Learning • Payments • Software • Financial Services
Provide high-touch concierge support to premium Velocity Black customers—handling inquiries, coordinating services, and resolving issues remotely. Role is eligible for performance-based incentives and includes Capital One benefits and equal-opportunity employment policies.
58 Minutes Ago
Remote or Hybrid
Richmond, VA, USA
101K-115K Annually
Senior level
101K-115K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead an engineering team to define, prioritize, and deliver customer-, agent-, and merchant-facing product features. Own roadmap, backlog, KPIs, and day-to-day operations; use SQL and qualitative data to drive decisions. Collaborate with designers, technologists, data scientists, and stakeholders while managing risk, compliance, and integrations to grow the Velocity Black luxury digital concierge platform.
Top Skills: Sql,Apis,Big Data,Native Ui,Mobile Development,Web Development,Api Integrations

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account