Sr. GTM AI Architect
$153k - $187kInvoca
About Invoca: Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.
About the Team: Our Revenue Systems, Data & AI team is responsible for building and powering the infrastructure of our revenue engine. We own the GTM tech stack, data architecture, and automation layer that enables scalable, efficient execution across Sales, Marketing, and Customer Success. As we continue to evolve in an AI-driven landscape, we are focused on embedding intelligence directly into our workflows to drive better decisions, improve productivity, and accelerate revenue outcomes.
About the Role: We're seeking a highly technical, innovative, and forward-thinking Sr. GTM AI Architect to lead the design and deployment of AI-driven capabilities across our GTM tech stack. This is a senior individual contributor role responsible for embedding AI directly into revenue workflows to enable smarter decision-making, automate manual processes, and improve execution across Sales, Marketing, and Customer Success. You'll act as both a builder and operator, translating a deep understanding of GTM workflows into practical AI systems. While we already leverage AI across our systems, this role was created to go deeper - providing dedicated focus to scale those efforts and drive adoption of the highest-impact, field-facing use cases. This role reports to the Senior Director, Revenue Systems, Data & AI within the Revenue Operations, Strategy & Enablement team, with close partnership across the GTM organization.
You Will:
United States: Greater Los Angeles Area (including Santa Barbara and San Diego) • SF Bay Area • Denver Metro • Austin Metro • Chicago Metro • Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position.
Salary, Benefits, & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.
About the Team: Our Revenue Systems, Data & AI team is responsible for building and powering the infrastructure of our revenue engine. We own the GTM tech stack, data architecture, and automation layer that enables scalable, efficient execution across Sales, Marketing, and Customer Success. As we continue to evolve in an AI-driven landscape, we are focused on embedding intelligence directly into our workflows to drive better decisions, improve productivity, and accelerate revenue outcomes.
About the Role: We're seeking a highly technical, innovative, and forward-thinking Sr. GTM AI Architect to lead the design and deployment of AI-driven capabilities across our GTM tech stack. This is a senior individual contributor role responsible for embedding AI directly into revenue workflows to enable smarter decision-making, automate manual processes, and improve execution across Sales, Marketing, and Customer Success. You'll act as both a builder and operator, translating a deep understanding of GTM workflows into practical AI systems. While we already leverage AI across our systems, this role was created to go deeper - providing dedicated focus to scale those efforts and drive adoption of the highest-impact, field-facing use cases. This role reports to the Senior Director, Revenue Systems, Data & AI within the Revenue Operations, Strategy & Enablement team, with close partnership across the GTM organization.
You Will:
- GTM AI Strategy & Use Case Development - Identify and prioritize high-impact AI use cases across Marketing, Sales, and Customer Success in partnership with Revenue Operations, aligning initiatives with business priorities to improve field productivity, conversion, and customer outcomes
- AI Workflow Design & Deployment - Design and implement AI-driven workflows and agentic solutions across the GTM tech stack, embedding AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement - practical, scalable, and built for field adoption
- Automation & Intelligence Layer - Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack, leveraging LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows
- Systems & Architecture Partnership - Integrate AI into platform design in close collaboration with Systems & Architecture, ensuring alignment with data models, governance standards, and long-term architecture
- Data & Signal Utilization - Leverage GTM data to power AI-driven insights and workflows, ensuring high-quality inputs and outputs for confident decision-making
- Continuous Innovation & Experimentation - Stay ahead of AI and GTM technology trends by rapidly evaluating, testing, and scaling new tools and approaches.
- 8-12+ years of experience across RevOps, GTM systems, software engineering, or technical roles in B2B SaaS
- Strong hands-on experience with AI/ML, LLMs, and automation frameworks
- Deep experience with Salesforce and modern GTM tech stacks
- Strong technical skills (e.g., Python, APIs, integrations, data workflows)
- Proven ability to design and deploy AI-driven solutions in business environments
- Strong understanding of GTM processes and revenue operations
- Ability to translate business problems into scalable technical solutions
- Experience working cross-functionally with business and technical stakeholders
- Highly autonomous, self-directed, and comfortable operating as a senior individual contributor
- Curiosity and passion for applying AI to real-world business problems
United States: Greater Los Angeles Area (including Santa Barbara and San Diego) • SF Bay Area • Denver Metro • Austin Metro • Chicago Metro • Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position.
Salary, Benefits, & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.
- Flexible Time Off - We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
- Paid Holidays - Invoca provides 20 U.S. paid holidays , including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
- Health Benefits - Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included.
- Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
- Stock Options - All employees are invited to share in Invoca's success through stock options.
- Mental Health Program - Well-being support on a broad range of issues is available through our SpringHealth program.
- Paid Family Leave - Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
- Paid Medical Leave - Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
- InVacation - As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
- Wellness Subsidy - We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
- Position Base - Target Base Salary $153,000-$187,000 / plus bonus potential
Vacancy posted 11 hours ago
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