AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Applied Machine Learning Engineer
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Offers Equity
Generous perks
Comprehensive benefits
Education Requirements:
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
Experience Requirements:
3+ years of industry experience
2+ years training and deploying ML models in production
Other Requirements:
Proficiency in Python/Javascript
Experience with TensorFlow, PyTorch, Keras, scikit-learn
Expertise in NLP, Deep Learning, Anomaly Detection, Transformers and LLMs
Responsibilities:
Training production models to improve their accuracy for specific sales use cases
Align technical strategy with performance, cost and feasibility considerations
Handle realtime audio AI & precision/recall/latency tradeoffs
Implement smart call funnels & playbooks using GPT-3
Work with conversation embeddings & markov models
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Senior Fullstack Engineer, Dialer
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
3–5 years engineering experience
Ideally experience in SaaS products
Other Requirements:
Strong skills in modern frontend (React)
Backend skills (Node/TypeScript, REST APIs)
Solid understanding of data models and caching (Postgres, Redis)
Responsibilities:
Build and maintain core dialer features
Collaborate with design/product to ship UX improvements
Improve backend APIs and frontend performance
Partner cross-functionally with Integrations and Voice Infra
Build toward senior ownership of dialer experience systems
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Senior Software Engineer, Fullstack
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
At least 6 years of experience in full-stack engineering
Proven technical leadership experience for at least 1 year
Past experience working at a startup
Other Requirements:
Expertise in React, TypeScript, Node.js, and Python
Ability to work in the San Francisco office 3+ days per week
Responsibilities:
Build and maintain scalable, high-performance applications
Lead the design and implementation of new features
Architect and develop front-end components using React and TypeScript
Mentor and guide junior engineers
Own the end-to-end delivery of features
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Senior Software Engineer, Product
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
At least 6 years of experience in full-stack engineering
Proven technical leadership experience for at least 1 year
Past experience working at a startup
Other Requirements:
Expertise in React, TypeScript, Node.js, and Python
Ability to work in the San Francisco office 3+ days per week
Responsibilities:
Build and maintain scalable, high-performance applications
Lead the design and implementation of new features
Architect and develop front-end components using React and TypeScript
Mentor and guide junior engineers
Contribute to the company’s technical roadmap
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Senior Software Engineer, Voice AI
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
6–10+ years backend/infra engineering
Hands-on experience with WebRTC, SIP, Twilio, or similar stacks
Other Requirements:
Strong foundation in distributed systems and low-latency infra
Experience debugging and optimizing QoS
Responsibilities:
Architect and improve real-time voice infra
Ensure call quality and latency meet SLA targets globally
Build services for advanced features like call transfers
Develop observability and debugging tools
Partner with Product/Support to enable new A/V features
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Software Engineer, Core Product Infrastructure
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
6–10+ years backend experience
Strong SaaS integrations work
History of building frameworks for integrations
Other Requirements:
Deep knowledge of APIs, webhooks, OAuth, error handling
Strong systems background with focus on reliability
Responsibilities:
Design, implement, and own high-scale integrations
Own data pipelines to handle billions of data points
Drive reliability and monitoring for integrations
Collaborate with Product and GTM on priorities
Mentor teammates and provide backend technical leadership
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Software Engineer, Fullstack
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
At least 3 years of experience in full-stack engineering
Proven technical leadership experience for at least 1 year
Past experience working at a startup
Other Requirements:
Expertise in React, TypeScript, Node.js, and Python
Ability to work in the San Francisco office 3+ days per week
Responsibilities:
Build and maintain scalable, high-performance applications
Lead the design and implementation of new features
Architect and develop front-end components using React and TypeScript
Mentor and guide junior engineers
Own the end-to-end delivery of features
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Software Engineer, Product
Scale sales pipeline and automate manual outreach for GTM teams with a unified AI workspace that combines parallel dialing, sequencing, and lead research.
Benefits:
Equity in the form of options
Comprehensive health, dental, vision, life and disability insurance
Unlimited paid time off
Experience Requirements:
At least 3 years of experience in full-stack engineering
Proven technical leadership experience for at least 1 year
Past experience working at a startup
Other Requirements:
Expertise in React, TypeScript, Node.js, and Python
Ability to work in the San Francisco office 3+ days per week
Responsibilities:
Build and maintain scalable, high-performance applications
Lead the design and implementation of new features
Architect and develop front-end components using React and TypeScript
Mentor and guide junior engineers
Own the end-to-end delivery of features
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Campaign Manager
Deliver measurable business outcomes from every impression with AI-powered PMPs for CTV, video, and display, optimizing for brand lift and customer value.
Benefits:
Generous parental and family leave
Monthly gym and fitness allowance
Unlimited vacation and time-off policy
401K plan, flexible spending account, commuting support, and monthly phone bill reimbursement
100% company-paid health and affordable dental insurance
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Senior Backend Engineer (Remote)
Deliver measurable business outcomes from every impression with AI-powered PMPs for CTV, video, and display, optimizing for brand lift and customer value.
Benefits:
Generous parental and family leave
Monthly gym and fitness allowance
Unlimited vacation and time-off policy
401K plan, flexible spending account, commuting support, and monthly phone bill reimbursement
100% company-paid health and affordable dental insurance
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Deployment Strategist
Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Other Requirements:
Curious and analytical approach
Sharp product intuition
Deep user insight
Agency
Extraordinary Problem-Solving Ability
Responsibilities:
Go onsite to meet knowledge workers
Map institutional intelligence
Partner with Forward Deployed Engineers
Design AI workflows
Present results and proposals
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Enterprise GTM
Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Experience Requirements:
5+ years of enterprise sales experience
Proven track record closing deals >$500K ACV
Experience selling to technical buyers
Strong business acumen
Consultative selling approach
Other Requirements:
Strategic thinking
Deep business acumen
Ability to sell transformational technology
Responsibilities:
Own enterprise pipeline and quota
Build C-suite relationships
Lead discovery and qualification
Orchestrate technical evaluations and pilots
Navigate complex enterprise sales cycles
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Forward Deployed Engineer - MTS
Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Education Requirements:
Strong engineering background in Computer Science, Software Engineering, Mathematics, Physics, or related
Experience Requirements:
2+ years of relevant, post-college work experience
Strong coding skills with proficiency in Python, TypeScript/JavaScript, Java
Experience building production systems
Other Requirements:
Ability and interest to travel up to 25-50%
Intellectual curiosity about AI/ML systems
Obsession with Execution Quality
Responsibilities:
Collaborating with engineers on architecture
Wrangling massive-scale data
Building custom AI workflows
Developing integrations
Engineering the learning flywheel
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Technical Account Manager
Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Experience Requirements:
3+ years of Technical Account Management, Customer Success, or Solutions Engineering experience
Proven track record of driving customer retention and expansion
Technical depth in AI/ML systems, APIs, and data integration
Experience with complex, technical products
Strong business acumen
Other Requirements:
Executive relationship management
Excellent communication skills
Strategic thinking
Responsibilities:
Own customer relationships
Drive customer success and adoption
Conduct executive business reviews
Monitor customer health and proactively address risks
Identify expansion opportunities
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Senior Software Engineer - MTS
Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Education Requirements:
Strong engineering background in Computer Science, Software Engineering, Mathematics, Physics, or related
Experience Requirements:
Relevant experience in software engineering building production web applications
Strong full-stack coding skills in TypeScript/JavaScript and React
Experience building production systems
Track record of shipping features that users love
Other Requirements:
Intellectual curiosity about AI/ML systems
Strong visual design sensibility
Experience with cloud infrastructure
Responsibilities:
Architecting and building end-to-end product features
Designing Autopilot UX
Building the integrations layer
Engineering the design system & component library
Building the learning flywheel infrastructure
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Software Engineer - MTS
Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Education Requirements:
Strong engineering background in Computer Science, Software Engineering, Mathematics, Physics, or related
Experience Requirements:
Relevant experience in software engineering building production web applications
Strong full-stack coding skills in TypeScript/JavaScript and React
Experience building production systems
Track record of shipping features that users love
Other Requirements:
Intellectual curiosity about AI/ML systems
Fluent in TypeScript/React
Experience with cloud infrastructure
Responsibilities:
Architecting and building end-to-end product features
Designing Autopilot UX
Building the integrations layer
Engineering the design system & component library
Building the learning flywheel infrastructure
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Senior Data Engineer
Automate your e-commerce fulfillment with robotic 3PL services that pick, pack, and ship orders on autopilot to provide free 2-day delivery for your customers.
Benefits:
Medical, vision and dental coverage
group and supplemental life insurance
401K
unlimited flexible paid time off (PTO)
fitness and educational stipends
Education Requirements:
Bachelor’s Degree in Computer Science, Data Informatics, or a related field
Experience Requirements:
Four (4) years of experience as a Data Engineer, Software Developer, or related position
Writing production code in Python, Java
Identifying and resolving bugs and issues
Kafka/Spark/Databricks
AWS
Responsibilities:
Design, build, and maintain scalable and reliable data pipelines using Databricks
Ensure data is collected, processed, and made available in a timely and efficient manner
Integrate data from various sources, including Kafka streams, to support real-time analytics
Manage and optimize data lake to ensure high performance and availability
Implement best practices for database design, indexing, and query optimization
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Senior Data Scientist, Product Intelligence
Build and scale high-performance generative AI applications using a library of 1,000+ image, video, and audio models with lightning-fast serverless GPU inference.
Benefits:
Interesting and challenging work
Learning and growth opportunities
Visa sponsorship and relocation assistance
Health, dental, and vision insurance
Regular team events and offsites
Experience Requirements:
5+ years of experience in data science or analytics
Advanced-level SQL
Proficiency in Python for modeling and experimentation
Proficiency with dbt and orchestration tools
Experience establishing data quality and governance
Other Requirements:
Experience with API products or developer tools
Exposure to cloud usage or compute efficiency data
Interest in data systems for AI-driven workflows
Responsibilities:
Architect metrics defining user success
Develop causal understanding of customer discovery
Own instrumentation standards and data contracts
Surface insights through deep-dives
Develop scalable data products
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Senior Product Designer
Build and scale high-performance generative AI applications using a library of 1,000+ image, video, and audio models with lightning-fast serverless GPU inference.
Benefits:
Interesting and challenging work
Competitive salary and equity
Learning and growth opportunities
Visa sponsorship and relocation assistance
Health, dental, and vision insurance
Experience Requirements:
Strong product UI/visual craft
Experience designing web AND mobile experiences
Solid design systems experience
Comfortable owning features end-to-end
AI-assisted prototyping mindset
Other Requirements:
Familiarity with generative media UX patterns
Front-end literacy in React/TypeScript/CSS
Willingness to support GTM/graphic design needs
Responsibilities:
Own end-to-end product design for features
Design across web and true mobile experiences
Build and maintain the design system
Validate direction through fast prototyping
Partner with Engineering and Product Management
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Applied ML Engineer
Build and scale high-performance generative AI applications using a library of 1,000+ image, video, and audio models with lightning-fast serverless GPU inference.
Benefits:
Interesting and challenging work
Learning and growth opportunities
Visa sponsorship and relocation assistance
Health, dental, and vision insurance
Regular team events and offsites
Experience Requirements:
Broad view of the generative media space
Awareness of new methods in the space
Other Requirements:
Proficiency in Python, torch, diffusers, and the fal Python SDK
Responsibilities:
Develop, fine-tune, and operationalize machine learning models
Develop new methods to solve customer problems
Novel training or architecture developments
Fine-tuning pre-existing models with novel datasets
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