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ai engineer (gtm)

ai software engineer and talent acquisition lead

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Full-time 
Compensation: $80&ndash;$110/hour 
Location: Remote
Role Responsibilities<ul><li>
Develop and enhance AI-powered interviewing tools and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows.</li><li>
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements.</li><li>
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#.</li><li>
Experience with scripting languages including Python, PHP, or JavaScript.</li><li>
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul>
Preferred<ul><li>
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants.</li><li>
Familiarity with GraphQL and modern API design patterns.</li><li>
Experience with React ecosystem including Relay for data fetching.</li><li>
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications.</li></ul>
Compensation &amp; Legal<ul><li>
Hourly contractor</li><li>
Paid weekly via Stripe Connect</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

AI Software Engineer and Talent Acquisition Lead

Train With Ellie

<div>About Owner.com
Owner is the AI growth system for local restaurants.
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts.
Owner is like having an army of engineers and marketers on your side, just like the big chains. 
Our vision
We&rsquo;re starting by helping independent restaurants succeed online.
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. 
Read our Series C memo here 
Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website.
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. 
Our team
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe.
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth. 
Where we work
While Owner is a remote-first company, for this role we are prioritizing SF Bay Area candidates who can work out of our lovely office in the Presidio at least twice a week. 
 Why we&rsquo;re looking for you
Owner is building the self-driving, AI-powered platform for profitable growth for small businesses. A crucial element of this growth engine is attracting new consumer demand for our restaurant customers through SEO and AEO/GEO.
Owner&rsquo;s acquisition engine first identifies what makes a given restaurant unique, evaluates local demand for its offerings, and assesses the most relevant competition to determine the best strategy for promoting that restaurant. Then, the platform automatically generates relevant website pages and content, monitors results over time, and evolves its strategy as it gets more data.
We&rsquo;re looking for a growth-minded, results-oriented PM to lead work on evolving and further scaling this system in partnership with our talented local SEO experts, product analysts, and engineers.
 The impact you will have<ul><li>
Develop the roadmap for Owner&rsquo;s traffic acquisition engine, balancing big strategic bets and optimization-focused experimentation</li><li>
Increase traffic to Owner customers&rsquo; websites from Google, ChatGPT, and other consumer discovery products</li><li>
Lead the evolution of Owner&rsquo;s traffic acquisition strategy for the AI era, as consumers incorporate products beyond Google search into their restaurant discovery process</li><li>
Use AI to hone and scale how Owner determines the optimal traffic growth strategy for tens of thousands of independent restaurants</li><li>
Deliver results for customers that help Owner.com become the most loved brand in restaurant software</li></ul>
 Who you&rsquo;ll work with<ul><li>
You&rsquo;ll join forces with our local SEO experts on how to determine the best traffic acquisition strategy for each restaurant customer</li><li>
You&rsquo;ll partner with Engineering to build the software needed to scale our acquisition engine to tens of thousands of restaurant customers</li><li>
You&rsquo;ll collaborate with Product Analytics to identify and size opportunities, define KPIs, and understand impact</li><li>
You&rsquo;ll work with our customer-facing Launch, Customer Success, and Support teams to ensure we have the right inputs to understand what makes each customer restaurant unique</li><li>
You&rsquo;ll work with our go-to-market teams to ensure that customers and prospects understand the value delivered by Owner&rsquo;s traffic acquisition engine</li></ul>
✅ What we&rsquo;re looking for<ul><li>
5+ years of product management experience</li><li>
Ability to get things done: you have a track record of shipping software that made a difference for your customers</li><li>
Excellent product sense: you have a good understanding of what makes for a high-quality product and are opinionated about what solutions will be successful</li><li>
Deep customer empathy: you care about helping your customers and are skilled at performing research to uncover their true needs</li><li>
Strong data fluency: you effectively gather and integrate quantitative and qualitative data to inform your decision-making and update your intuition</li><li>
Proficiency handling ambiguity: you make sure your goals are clearly defined and display significant independence in achieving them</li><li>
Clear written and verbal communication: you&rsquo;re a force for clarity and alignment, ensuring everyone&rsquo;s on the same page</li><li>
Competence with technical complexity: you can understand the high-level architecture of a product and its implications for the customer experience, and you&rsquo;re comfortable talking with engineers about project scope and tradeoffs</li></ul>
 Pay and benefits<ul><li>
The estimated starting base salary range for this role is $190-230K, plus a generous pre-IPO equity package</li><li>
Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks!</li></ul>
 Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div><div></div>

Senior Product Manager, Guest Acquisition

HumanSignal

<div>
 
 The future of AI &mdash; whether in training or evaluation, classical ML or agentic workflows &mdash; starts with high-quality data.
 
 
 
 At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
 
 
 Our open-source product,
 
 Label Studio
 
 , has become the
 
 de facto standard
 
 for labeling and evaluating data across modalities &mdash; from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
 
 
 
 Label Studio Enterprise
 
 builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines &mdash; powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems &mdash; we'd love to talk.
 
 
 
 About the Role
 
 
 
 We're looking for an ambitious AI Engineer to
 
 transform how our go-to-market team operates
 
 . San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
 
 
 As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
 
 
 This is a highly hands-on role for someone who enjoys
 
 shipping systems, experimenting rapidly, and solving messy real-world problems with software.
 
 
 
 
 Why This Role Matters
 
 
 
 This role is a force multiplier for the entire company. You'll build the infrastructure that allows the GTM team to
 
 move faster, learn faster, and scale without proportional headcount.
 
 You'll help us:
 
 
 <ul>
 <li>
 Turn GTM from a set of tools into a cohesive, intelligent system
 </li>
 <li>
 Scale workflows without scaling headcount
 </li>
 <li>
 Improve signal quality and timing for marketing and sales
 </li>
 <li>
 Increase learning velocity across the entire funnel
 </li>
 <li>
 Shape how an open-source, bottom-up product grows into enterprise adoption
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 
 Build &amp; Automate the foundational GTM AI stack
 
 
 
 <ul>
 <li>
 Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
 </li>
 <li>
 Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
 </li>
 <li>
 Build internal tools and lightweight services that accelerate GTM teams
 </li>
 <li>
 Replace manual workflows with scalable, automated systems
 
 
 </li>
 </ul>
 
 AI-Powered Systems &amp; Agents
 
 
 
 Design and deploy
 
 AI-driven workflows and agents
 
 that augment GTM teams.
 
 
 Examples include:
 
 
 <ul>
 <li>
 Lead qualification, inbound lead routing, and enrichment
 </li>
 <li>
 Personalized lifecycle marketing and outbound messaging
 </li>
 <li>
 Sales assist tools for deal intelligence and account research
 </li>
 <li>
 Automated account insights, pipeline analysis, and deal lifecycle management
 </li>
 <li>
 User onboarding, activation, and expansion signals
 
 
 </li>
 </ul>
 You'll continuously improve these systems using
 
 real performance data and feedback loops.
 
 
 
 
 Growth: PLG + Sales-Assisted Motion
 
 
 
 <ul>
 <li>
 Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
 </li>
 <li>
 Partner with Data &amp; Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
 </li>
 <li>
 Partner closely with Product &amp; Marketing to turn usage insights into GTM leverage
 
 
 </li>
 </ul>
 
 Experimentation &amp; Learning
 
 
 
 Build the infrastructure that allows the GTM team to
 
 learn quickly and iterate with confidence.
 
 
 
 <ul>
 <li>
 Design and run experiments across acquisition, activation, conversion, and expansion
 </li>
 <li>
 Build experimentation frameworks (feature flags, A/B testing, measurement systems)
 </li>
 <li>
 Instrument systems to capture reliable data and insights
 </li>
 <li>
 Rapidly iterate based on results, not assumptions
 
 
 </li>
 </ul>
 
 Feedback Loops &amp; Continuous Improvement
 
 
 
 Create tight feedback loops between users, product signals, and GTM actions.
 
 
 <ul>
 <li>
 Partner with head of , accessible, and actionable across teams
 </li>
 <li>
 Turn qualitative and quantitative insights into system improvements
 </li>
 <li>
 Continuously optimize workflows, models, and automation based on real outcomes
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 
 Core Skills
 
 
 
 This is fundamentally an
 
 engineering role
 
 , not traditional GTM operations. We're looking for someone who enjoys
 
 building systems, not managing tools.
 
 
 
 <ul>
 <li>
 Strong engineering background (software, data, or growth engineering)
 </li>
 <li>
 Comfortable shipping production code (APIs, services, scripts, internal tools)
 </li>
 <li>
 Experience working with data pipelines, analytics, and experimentation frameworks
 </li>
 <li>
 Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
 
 
 </li>
 </ul>
 
 Collaboration &amp; Ownership
 
 
 
 <ul>
 <li>
 Ability to work cross-functionally with Product, Engineering, Marketing and Sales
 </li>
 <li>
 Comfortable operating with ambiguity and defining the problem as you go
 </li>
 <li>
 Strong communicator who can translate between technical and GTM stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with open-source or developer-focused products
 </li>
 <li>
 Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
 </li>
 <li>
 Experience building internal tools for sales or marketing teams
 </li>
 <li>
 Prior work in B2B SaaS, data, or AI-first companies
 </li>
 </ul>
</div>

AI Engineer (GTM)

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Freelance 
Compensation: $50&ndash;$150/hour 
Duration: 1&ndash;2 months 
Commitment: 15&ndash;25 hours/week
Role Responsibilities<ul><li>
Review and refine AI-generated prompts, responses, and code to enhance system performance.</li><li>
Validate algorithms and software concepts for technical accuracy and reliability.</li><li>
Provide structured feedback on solution quality and clarity to improve AI systems.</li><li>
Tag and organize content by topic, difficulty, or language to support data management.</li><li>
Support benchmarking efforts to assess model capabilities and performance metrics.</li></ul>
Qualifications
Must-Have<ul><li>
2+ years of experience in software engineering, technical research, or educational content development.</li><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field.</li><li>
Strong proficiency in languages like Python, JavaScript, Java, or C++.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul>
Start Date<ul><li>
Immediate</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Principal Software Developer

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Freelance 
Compensation: $50&ndash;$150/hour 
Duration: 1&ndash;2 months 
Commitment: 15&ndash;25 hours/week, with flexibility up to 40 hours/week
Role Responsibilities<ul><li>
Review and refine AI-generated prompts, responses, and code.</li><li>
Validate algorithms and software concepts for technical accuracy.</li><li>
Provide structured feedback on solution quality and clarity.</li><li>
Tag and organize content by topic, difficulty, or language.</li><li>
Support benchmarking efforts to assess model capabilities.</li><li>
Work independently and asynchronously to meet deadlines while improving AI model performance.</li></ul>
Qualifications
Must-Have<ul><li>
2+ years of experience in software engineering, technical research, or educational content development.</li><li>
Bachelor's degree in Software Engineering, Computer Science, or a related field.</li><li>
Strong proficiency in languages like Python, JavaScript, Java, or C++.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul>
Start Date<ul><li>
Immediate</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Software Engineer – AI Specialist

Software Engineer I - Junior

Principal Software Engineering Manager

Explore 548+ Ai software engineer and talent acquisition lead in San Francisco this March. Find roles across top companies and apply now to boost your career.