Agentic Programs Lead

Avalara•UNAVAILABLE, UNAVAILABLE

About The Position

Avalara is seeking a highly technical, hands-on leader to build, govern, and scale the shared AI agent fleet that powers every team across Revenue Marketing. This role sits within Revenue Programs and is the single owner of agent quality and performance org-wide spanning Market & Audience Intelligence, Planning & Optimization, and Campaign Execution. This is an individual contributor role, not a people-management position. You will operate at Director-level scope and influence, but your primary value is technical: designing, building, and orchestrating agents that let our GTM function scale output, efficiency, and business impact. You will partner closely with and Segment and Product GTM teams, Events, Product, Growth, and Partner Marketing teams to embed agents into their workflows, while defining the standards, guardrails, and roadmap that keep the fleet reliable and impactful. This role reports into our Director of Revenue Programs and is central to Avalara's agentic-first operating model where humans strategize and orchestrate, and agents execute at scale.

Requirements

8+ years of experience in B2B SaaS marketing technology, marketing operations, or AI/automation engineering, with a track record of designing and scaling automated or AI-driven systems
Hands-on experience building and deploying AI agents or LLM-powered workflows, including prompt engineering, orchestration frameworks, and API integrations
Strong fluency with core B2B marketing platforms (Marketo, Salesforce, 6sense, Power BI, ON24) and how agents plug into them
Proven ability to operate as a senior individual contributor and technical subject-matter expert — influencing and enabling teams without formal authority over headcount
Solid grounding in full-funnel B2B revenue marketing (demand generation, campaign lifecycle, funnel metrics) to ensure agents solve real GTM problems
Experience owning technical roadmaps and governance frameworks in a matrixed organization
Strong stakeholder management skills; able to translate technical capability into business impact for non-technical audiences
Comfortable operating managing agents vs humans; show a bias toward building and orchestrating rather than managing human headcount
Experience using AI and AI-related technologies, ready to thrive here.
Apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
Grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

Responsibilities

Own the roadmap and prioritization for the shared agent fleet across our core pillars of: Market & Audience Intelligence, Planning & Optimization, and Campaign Execution
Prioritize agent investment based on impact and scale rather than first-in, first-out; resource the highest-return use cases first
Partner with Revenue Programs and Revenue Marketing leadership to align the agent roadmap to enterprise pipeline and GTM priorities
Build, test, and deploy agents across the fleet including Competitive Monitoring, Review Monitoring, Audience Sizing, Product Usage Insights, Path-to-Plan Planning, Channel Optimization, Campaign Performance, Brief Development & Deployment, Messaging Testing & Dev, Content & Creative, Campaign Ops & Activation, and Sequence Builder
Work with our IT teams to own the technical architecture for agent orchestration, including integrations with core marketing systems (Marketo, Salesforce, 6sense, Power BI, ON24)
Establish QA, monitoring, and guardrails to ensure agents operate reliably and safely at production scale
Serve as the single owner of agent quality and performance standards across Revenue Marketing
Define and enforce standards for agent accuracy, reliability, and responsible operation
Manage the full agent lifecycle — build, iterate, retire — based on performance data and evolving business need
Partner with Enterprise, SMB, Product-Led GTM, Events, Product, Growth, and Partner Marketing teams to embed the right agents into each pod's workflow
Enable and train teams on how to use, prompt, and interpret agent outputs; act as the technical point of contact for agent-related questions
Translate team-specific needs into shared, reusable agent capabilities rather than one-off builds
Track adoption, utilization, and ROI of the agent fleet across every Revenue Marketing team
Continuously optimize existing agents based on usage data, performance signals, and stakeholder feedback
Monitor market and competitive signals to proactively evolve the fleet ahead of demand, rather than reacting to results