AI Product Manager Jobs in Texas
AI Product Manager jobs in Texas are among the most active in the country, concentrated in enterprise software, fintech, energy technology, and defense and aerospace systems across experience levels from associate through principal and director. Austin, Dallas, and Houston anchor the market, with major employers such as Dell Technologies, American Airlines, and ExxonMobil building out AI-driven product teams alongside a dense layer of fast-growing tech companies. The most in-demand specialties are conversational AI, machine learning platform products, and enterprise data products. Find a role that fits below and apply directly.
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About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in bookings. We're expanding beyond lawn care to become the one-stop shop for home services: three brands (LawnStarter, Lawn Love, Home Gnome), one shared platform.
About Product at LawnStarter
Our BHAG: 1+ job per household, every year. Getting there means winning on four fronts at once: more customers, more Pros, excellent service for both sides, and an AI-run company that moves faster than its size should allow.
About AI Agents at LawnStarter
Our mission: power every AI experience. For homeowners and for Pros (the lawn care providers on our marketplace), conversational AI can do far more than answer questions. It can skip a service, reschedule a visit, or book a new one mid-conversation, even when the customer's own AI agent is the one talking. And it doesn't have to live only in a chat window: we're bringing agentic experiences into the workflows homeowners and Pros already use, so the product does the work for them wherever they are. You'll decide what that looks like for both sides, then ship it.
The Role
This is LawnStarter's first core AI PM role. You'll own our conversational AI and agent experiences for consumers and Pros: the chat, the actions it takes, the moment it hands off to a person, and how outside AI agents work with us. Beyond chat, you'll bring agentic experiences into existing consumer and Pro workflows, so AI takes action inside the product rather than alongside it.
As Lead PM, you're an individual contributor with Lead-level scope, reporting to the Sr. Director of Product. The AI experiences you power will often sit inside surfaces other PMs own, so you'll share goals with the Customer Experience lead, the First Service Experience lead, and the Pro Experience PM, and build with engineering, applied science, design, data, customer service, and operations.
What makes this role different:
- Fast, and at the center. Within a year, we expect AI to shape a meaningful share of how homeowners and Pros experience LawnStarter, and you’ll be at the center of making that happen. This role moves fast and rewards people who ship.
- You're the first. The evals, the guardrails, and the bar for "ready to ship" are yours to set.
- The AI takes real actions. It reschedules and skips services on a live marketplace. No sandbox.
- Two sides, one conversation. Everything you ship serves homeowners, Pros, or both, and an action for one changes the other's day.
What You'll Own
- The AI roadmap: Where consumer AI and Pro AI go next, and the order we build it in.
- Customer AI chat: Answering homeowners' questions and completing tasks, like skipping or rescheduling a service.
- AI chat in the Pros App: The AI experience Pros get inside the app they work from.
- Agents inside existing workflows: AI that acts within the consumer and Pro flows people already use, not just in a chat window.
- Customer-to-Pro messaging: How homeowners and Pros talk to each other.
- The handoff to human support: When the bot passes a conversation to a support agent.
- Outside AI agents: Letting a customer's own agent, such as ChatGPT or Claude, work with us on their behalf.
Problems to Solve
From answering questions to solving problems.
A chatbot that explains how to reschedule is useful. One that understands what the customer or Pro actually needs, recommends the right thing, and then does it for them is a different product, and a riskier one. Sometimes the best answer isn’t the action they asked for: a skip might be better as a reschedule, or a one-time booking better as a plan. You’ll decide which actions the AI takes on its own, which need confirmation, and what happens when it gets one wrong.
Knowing when to hand off, and doing it well.
Some conversations belong with a person. Which ones? And can the bot tell before the customer gets frustrated? When the handoff comes, the support agent should pick up with full context so the customer doesn't repeat themselves.
When the customer's agent is the one asking.
Sometimes the one talking to LawnStarter won't be a homeowner. It'll be their own AI agent, such as ChatGPT, asking about a service, booking one, or changing it. You'll work out what we let an outside agent do and how the customer stays in control.
Evals and guardrails for two audiences.
A good answer for a homeowner isn't a good answer for a Pro. You'll build the evals that tell us when an AI experience is good enough to ship and when its quality slips, plus the guardrails that keep it safe once it's live.
What Success Looks Like (Year 1)
- AI shaping the experience: AI experiences live for consumers and Pros, and shaping a meaningful share of how both sides interact with LawnStarter, measured by:
- Share of conversations resolved by AI without a human (resolution or containment rate)
- CSAT on AI conversations, for homeowners and Pros
- Action accuracy: errors on reschedules, skips, and bookings stay below a set bar
- Pros get more done because of AI: Pros spend less time on admin and coordination, and say AI makes them more productive.
- More customers stay because AI makes service better: Consumer and Pro retention rises, driven by AI that resolves problems faster and improves the service experience.
Requirements
Who You Are
Experience: 6+ years of product management, including at least 3 years launching AI products to customers (internal or external).
An AI builder who has shipped to real users. You've put AI products in front of real end users, whether in B2C, B2B, or B2B2C, and at least one was a chatbot or conversational AI running in production. You read transcripts to find where conversations break. If your AI work stopped at demos, prototypes, or a thin prompt wrapper that never met a real user, this isn't your role.
The owner of quality. You write evals yourself. You know when an AI experience is good enough to ship, and when its quality starts to slip. Would you rather someone else define what "good" means? Then you'll struggle here.
Fluent in agents and tool use. You understand what changes when an agent stops producing text and starts calling actions on real systems, and you design for the ways that goes wrong. PMs who treat AI as a feature bolted onto the side won't last here.
A strategist who prioritizes with data. You set priorities, say no with reasons, and back each call with evidence. If your roadmaps run on instinct alone, this is unlikely to be a good fit.
A systems thinker. You see a product change as one part of a larger system and think through its second- and third-order effects before you ship. Here, that system is a marketplace: a change for customers almost always touches Pros, pricing, and operations too. You plan for those effects in the spec, not after launch. Marketplace experience helps, but what matters most is that you instinctively ask, "What else does this change?" If you'd rather ship your piece and let other teams deal with what it changes, this isn't your role.
This Role Is NOT
- A people-management role. You're an individual contributor with no direct reports.
- A research or ML-platform seat. If your AI career has been research or platform work that never reached end users, this isn't the fit.
- For AI skeptics. If you see AI as an add-on rather than the product, you'll fight the job daily.
- A strategy-only seat. You'll write the evals and read the transcripts. Setting direction from a distance won't work here.
- A role with foundations already built. You'll build the evals, the guardrails, and how we decide an AI experience is ready, not inherit them. We're also lean and frugal, on a partly legacy stack.
-
Low-stakes. AI that reschedules or skips a service fails in front of customers and Pros, so the safety bar is high. And since your work lives inside surfaces other PMs own, you'll lead through influence.
Bachelor’s degree in business, analytics, engineering, design, or a related field, or equivalent practical experience, plus 6+ years of product management experience on consumer-facing products.
Benefits
- Equity: AI is how LawnStarter plans to move faster than its size, and this role decides how that shows up for customers and Pros. Equity means you share in what that builds.
- Base salary: $170,000 to $225,000
- Healthcare: Medical, dental, and vision
- Location: Fully remote (US). Evals, transcripts, and failure cases reward deep focus, and remote work protects it.
- PTO: Flexible. We focus on results. Take what you need.
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in bookings. We're expanding beyond lawn care to become the one-stop shop for home services: three brands (LawnStarter, Lawn Love, Home Gnome), one shared platform.
About Product at LawnStarter
Our BHAG: 1+ job per household, every year. Getting there means winning on four fronts at once: more customers, more Pros, excellent service for both sides, and an AI-run company that moves faster than its size should allow.
About AI Agents at LawnStarter
Our mission: power every AI experience. For homeowners and for Pros (the lawn care providers on our marketplace), conversational AI can do far more than answer questions. It can skip a service, reschedule a visit, or book a new one mid-conversation, even when the customer's own AI agent is the one talking. And it doesn't have to live only in a chat window: we're bringing agentic experiences into the workflows homeowners and Pros already use, so the product does the work for them wherever they are. You'll decide what that looks like for both sides, then ship it.
The Role
This is LawnStarter's first core AI PM role. You'll own our conversational AI and agent experiences for consumers and Pros: the chat, the actions it takes, the moment it hands off to a person, and how outside AI agents work with us. Beyond chat, you'll bring agentic experiences into existing consumer and Pro workflows, so AI takes action inside the product rather than alongside it.
As Lead PM, you're an individual contributor with Lead-level scope, reporting to the Sr. Director of Product. The AI experiences you power will often sit inside surfaces other PMs own, so you'll share goals with the Customer Experience lead, the First Service Experience lead, and the Pro Experience PM, and build with engineering, applied science, design, data, customer service, and operations.
What makes this role different:
- Fast, and at the center. Within a year, we expect AI to shape a meaningful share of how homeowners and Pros experience LawnStarter, and you’ll be at the center of making that happen. This role moves fast and rewards people who ship.
- You're the first. The evals, the guardrails, and the bar for "ready to ship" are yours to set.
- The AI takes real actions. It reschedules and skips services on a live marketplace. No sandbox.
- Two sides, one conversation. Everything you ship serves homeowners, Pros, or both, and an action for one changes the other's day.
What You'll Own
- The AI roadmap: Where consumer AI and Pro AI go next, and the order we build it in.
- Customer AI chat: Answering homeowners' questions and completing tasks, like skipping or rescheduling a service.
- AI chat in the Pros App: The AI experience Pros get inside the app they work from.
- Agents inside existing workflows: AI that acts within the consumer and Pro flows people already use, not just in a chat window.
- Customer-to-Pro messaging: How homeowners and Pros talk to each other.
- The handoff to human support: When the bot passes a conversation to a support agent.
- Outside AI agents: Letting a customer's own agent, such as ChatGPT or Claude, work with us on their behalf.
Problems to Solve
From answering questions to solving problems.
A chatbot that explains how to reschedule is useful. One that understands what the customer or Pro actually needs, recommends the right thing, and then does it for them is a different product, and a riskier one. Sometimes the best answer isn’t the action they asked for: a skip might be better as a reschedule, or a one-time booking better as a plan. You’ll decide which actions the AI takes on its own, which need confirmation, and what happens when it gets one wrong.
Knowing when to hand off, and doing it well.
Some conversations belong with a person. Which ones? And can the bot tell before the customer gets frustrated? When the handoff comes, the support agent should pick up with full context so the customer doesn't repeat themselves.
When the customer's agent is the one asking.
Sometimes the one talking to LawnStarter won't be a homeowner. It'll be their own AI agent, such as ChatGPT, asking about a service, booking one, or changing it. You'll work out what we let an outside agent do and how the customer stays in control.
Evals and guardrails for two audiences.
A good answer for a homeowner isn't a good answer for a Pro. You'll build the evals that tell us when an AI experience is good enough to ship and when its quality slips, plus the guardrails that keep it safe once it's live.
What Success Looks Like (Year 1)
- AI shaping the experience: AI experiences live for consumers and Pros, and shaping a meaningful share of how both sides interact with LawnStarter, measured by:
- Share of conversations resolved by AI without a human (resolution or containment rate)
- CSAT on AI conversations, for homeowners and Pros
- Action accuracy: errors on reschedules, skips, and bookings stay below a set bar
- Pros get more done because of AI: Pros spend less time on admin and coordination, and say AI makes them more productive.
- More customers stay because AI makes service better: Consumer and Pro retention rises, driven by AI that resolves problems faster and improves the service experience.
Requirements
Who You Are
Experience: 6+ years of product management, including at least 3 years launching AI products to customers (internal or external).
An AI builder who has shipped to real users. You've put AI products in front of real end users, whether in B2C, B2B, or B2B2C, and at least one was a chatbot or conversational AI running in production. You read transcripts to find where conversations break. If your AI work stopped at demos, prototypes, or a thin prompt wrapper that never met a real user, this isn't your role.
The owner of quality. You write evals yourself. You know when an AI experience is good enough to ship, and when its quality starts to slip. Would you rather someone else define what "good" means? Then you'll struggle here.
Fluent in agents and tool use. You understand what changes when an agent stops producing text and starts calling actions on real systems, and you design for the ways that goes wrong. PMs who treat AI as a feature bolted onto the side won't last here.
A strategist who prioritizes with data. You set priorities, say no with reasons, and back each call with evidence. If your roadmaps run on instinct alone, this is unlikely to be a good fit.
A systems thinker. You see a product change as one part of a larger system and think through its second- and third-order effects before you ship. Here, that system is a marketplace: a change for customers almost always touches Pros, pricing, and operations too. You plan for those effects in the spec, not after launch. Marketplace experience helps, but what matters most is that you instinctively ask, "What else does this change?" If you'd rather ship your piece and let other teams deal with what it changes, this isn't your role.
This Role Is NOT
- A people-management role. You're an individual contributor with no direct reports.
- A research or ML-platform seat. If your AI career has been research or platform work that never reached end users, this isn't the fit.
- For AI skeptics. If you see AI as an add-on rather than the product, you'll fight the job daily.
- A strategy-only seat. You'll write the evals and read the transcripts. Setting direction from a distance won't work here.
- A role with foundations already built. You'll build the evals, the guardrails, and how we decide an AI experience is ready, not inherit them. We're also lean and frugal, on a partly legacy stack.
-
Low-stakes. AI that reschedules or skips a service fails in front of customers and Pros, so the safety bar is high. And since your work lives inside surfaces other PMs own, you'll lead through influence.
Bachelor’s degree in business, analytics, engineering, design, or a related field, or equivalent practical experience, plus 6+ years of product management experience on consumer-facing products.
Benefits
- Equity: AI is how LawnStarter plans to move faster than its size, and this role decides how that shows up for customers and Pros. Equity means you share in what that builds.
- Base salary: $170,000 to $225,000
- Healthcare: Medical, dental, and vision
- Location: Fully remote (US). Evals, transcripts, and failure cases reward deep focus, and remote work protects it.
- PTO: Flexible. We focus on results. Take what you need.
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.
See All 99 AI Product Manager Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Product Manager JobsAI Product Manager Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Product Manager Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Electronics & Hardware
- E-Commerce & Online Marketplaces
- Consulting & Professional Services
What Texas Employers Look For
The qualifications that appear most often in AI product manager jobs across Texas.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Three or more years of product management experience with demonstrated AI or ML product ownership
- Proven ability to write product requirements and translate model outputs into user-facing features
- Experience collaborating with data science and engineering teams to ship production AI systems
- Familiarity with agile development frameworks and product analytics tools such as Mixpanel or Amplitude
- Strong communication skills to align cross-functional stakeholders across business and technical teams
AI Product Manager Jobs in Texas: Frequently Asked Questions
How do you become a ai product manager in Texas?
The path into an ai product manager role in Texas starts with a technical or business undergraduate degree, followed by experience in a related role such as software engineering, data analysis, or traditional product management. Texas does not require a state-issued license for this role. Most candidates build credibility through a portfolio of shipped AI or ML products, and certifications from recognized bodies such as the Association of International Product Professionals can strengthen an application at Texas-based enterprise employers.
Which companies hire ai product managers in Texas?
Employers hiring ai product managers in Texas right now include AMD, University of Texas at El Paso, and USAA, based on current listings on Migrate Mate as of November 2026. Texas's concentration of Fortune 500 headquarters, defense contractors, and energy technology firms means demand extends well beyond the startup ecosystem into large enterprises with multi-year AI roadmaps.
Which Texas cities have the most ai product manager jobs?
Austin, Houston, and Dallas hold the largest concentration of ai product manager openings in Texas. Austin's dense technology sector drives much of the volume, while Dallas attracts roles tied to financial services, telecommunications, and corporate headquarters, and Houston generates openings from energy technology companies and large health systems investing in AI-powered products.
Are there remote ai product manager jobs in Texas?
Yes, and more than most fields. About 91% of ai product manager openings tied to Texas are remote or hybrid as of November 2026, reflecting how naturally the role fits distributed work. The parts of the job most amenable to fully remote arrangements are roadmap planning, stakeholder alignment, and data review, while roles involving close collaboration with hardware teams or on-site research labs more often require in-person presence.
How can I get hired as a ai product manager in Texas with little or no experience?
The most realistic entry path is a lateral move from a technical adjacent role such as data analyst, software engineer, or business systems analyst, where you have already worked alongside product teams. Texas employers including Dell, Texas Instruments, and USAA run associate product manager or rotational technology programs that accept candidates without prior PM titles. Building a case study portfolio that shows AI problem framing and prioritization decisions, even from side projects or internships, gives a concrete edge when applying to these programs.
Where can I find and apply to ai product manager jobs in Texas?
You can find and apply to ai product manager jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other markets. Find the roles that fit your experience and apply directly.
See All 99 AI Product Manager Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Product Manager Jobs