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Togetherwork

Director, AI Orchestration

LocationTW Corp - Product
Work modehybrid
Typefull-time
DepartmentTW Corp
Company size1,001–5,000 people
First seen2mo ago
Last seen1d ago
About the role
Department: Product & Strategy
Reports To: Chief Product Officer
Location: Austin, TX (Hybrid Required 2-3 days/week)
Work Authorization Notice:
At this time, we are unable to provide immigration sponsorship for this position. Candidates must have current, and future, unrestricted authorization to work in the country where the role is based.
Overview
At Togetherwork, we set a high bar for clarity, collaboration, and execution. Our Product & Strategy leaders own portfolio outcomes across a 15+ product portfolio serving associations, faith organizations, and fraternal groups. We work in deep partnership with Engineering, Revenue, CX, Operations, Managed Services, and Support, sharing accountability for delivering stable, modern, insight-driven products that help our customers thrive.
Role Summary
The Director, AI Orchestration owns the system that makes Togetherwork AI-native. The core of the job is replacing manual work with agentic workflows across the company, so people spend their time on the judgment, relationships, and decisions where humans matter most. You will set the agent standards every team builds to, run agent governance so we move fast without taking on excess risk, and measure whether the work is changing how the company operates.
The operating model is hub and spoke. You are the hub. Each ELT member assigns Builders from their function to an AI guild that you help organize: a cross-functional community that builds on shared standards and tooling. You will run hackathons to map our cross-functional workflows piece by piece and test what level of agent orchestration each one can handle, from simple assistance to full agentic replacement. The wins get hardened into production workflows; the standards get updated with what we learn. Critically, this is a change management role as much as a technical one: you will need to bring people along, shift how work gets done, and build the organizational will to operate differently.
This is a business orchestration role, not an engineering role. The right candidate has personally built agent-based workflows using low-code and no-code orchestration tools and AI platforms, understands cross-functional business processes, and can spec technical work for engineers without writing production code themselves. You report to the AI Council Lead day-to-day on overall strategy and priority. You partner closely with the CTO on tool approval, with the CTO’s security leader on tool security review, and you partner with the CPO to run the AI Governance Council and prioritization. Success is measured in replacement and/or augmented workflows, adoption across functions, and dollars of cost saved or revenue generated.
Key Responsibilities
Knowledge Infrastructure
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Own the vision and ongoing curation of Togetherwork’s enterprise knowledge infrastructure (in coordination with the CTO and security team): the system that brings together product signals, support data, customer trends, and operational knowledge so agents and humans across every function can draw on it reliably.
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Define standards for how each function contributes to and maintains its knowledge domain, so the infrastructure stays current and accurate as the business evolves.
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Measure knowledge infrastructure health: coverage, freshness, retrieval quality, and actual usage by agents across the company. The brains exist to feed the agents; the agents are the point.
Agent Standards & Tooling
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Set the standards every team builds agents to: design patterns, quality bar, human-in-the-loop checkpoints, testing, deployment, and retirement.
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Select and run the shared agentic tooling the company builds on, staying tool agnostic where possible and documenting the tradeoff whenever lock-in is the right call.
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Keep standards current as tooling and model capabilities change, and retire patterns that stop earning their place.
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Define how agent quality is measured beyond business outcomes: reliability, accuracy, latency, and failure modes, so the company knows when an agent is working and when it isn’t.
Agentic Workflow Replacement
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Identify the manual workflows across the company where agents can take over the repetitive work, prioritized by cost saved or revenue generated fastest.
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Test each workflow for the level of orchestration it can handle, from AI-assisted to fully agentic, and be honest about which is which.
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Build the first proof cases hands-on, then harden winning prototypes into production workflows with clear owners, human checkpoints, and escalation paths.
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Track every replaced workflow: what the agents took over, what the humans moved on to, and what it returned.
AI Guild & Hackathons
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Help organize the AI guild: Builders assigned by each ELT member from their function, working on shared standards and tooling.
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Run hackathons that map cross-functional workflows piece by piece and test levels of agent orchestration against real work.
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Turn hackathon wins into production workflows and hackathon lessons into updated standards.
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Train and certify guild Builders so each function can build and run its own agentic workflows; step in hands-on when a function stalls, then hand it back.
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Respect functional ownership: each ELT member decides what is best for their function and remains accountable for the quality and stewardship of their function’s data and content; you provide the standards, training, and guardrails that keep it coherent company-wide.
Agent Governance, Risk Mitigation & Change Management
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Help run the AI Governance Council, including agenda, intake, decisions, and follow-through.
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Partner with the CTO on tool approval and with the CTO’s security leader on tool security review. You bring the business case and usage model; they own the technical and security evaluation.
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Own access controls at the policy level: which agents reach which data and systems, with least-privilege defaults and clear separation between product and enterprise data.
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Define the rules for agent autonomy: what agents may do unattended, what requires human sign-off, and how that boundary moves as trust is earned.
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Watch for excess risk across the AI portfolio, including data exposure, vendor concentration, compliance, and customer impact, and raise it early with a plan.
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Own the communication rhythm for the AI program: what is changing, why, what it means for each team, and where to get help, in partnership with Communications.
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Assess organizational readiness before each workflow goes live: the affected team knows what is changing, has been trained, and knows where the human checkpoints sit.
Monitoring Progress, Outcomes & Impact
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Manage the AI Program Manager, who runs the AI PMO: a single, prioritized view of AI initiatives across the company with owners, timelines, and expected impact.
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Define and report the scoreboard: workflows replaced, hours of manual work eliminated, adoption by function, governance compliance, cost saved, revenue influenced, and cycle time reduced.
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Hold functions accountable to committed outcomes and report progress and risks to the AI Council Lead and ELT in plain terms with the data behind each call.
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Kill or redirect initiatives that are not delivering, quickly and without drama.
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Track and manage the cost of AI operations: model usage, token spend, tooling licenses, and infrastructure, with a bias toward doing more with less as the portfolio scales.
Qualifications
Required Qualifications
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Hands-on experience replacing real business processes with agentic or automated workflows, and the judgment to know which processes are ready and which are not. This includes real work application and use of low-code/no-code tools and AI platforms (Claude, GPT, LangGraph, n8n, and others).
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7+ years in product, program, or operations leadership, including direct people management with a very strong focus on change management.
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Experience running a hub-and-spoke, guild, or center-of-excellence model: setting standards centrally while enabling distributed teams to execute.
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Deep appreciation for cross-functional business processes and how work gets done in functions like HR, Legal, Finance, Support, Professional & Managed Services, Revenue, and CX.
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Demonstrated ability to influence executives and work across functions without direct authority, letting each leader own their domain.
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Experience with AI governance: usage policy, tool evaluation, access decisions, agent autonomy boundaries, and risk review.
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A tool-agnostic mindset: able to evaluate platforms on merit, avoid unnecessary lock-in, and explain the tradeoffs in business terms.
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Track record measuring and reporting program outcomes, and the willingness to shut down work that is not delivering.
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Comfortable as a working leader: managing a team while still building workflows, standards, and proof cases directly.
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Must be in Austin, TX. Hybrid work requires 2-3 days in office.
Preferred Qualifications
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Experience in multi-product B2B SaaS, ideally PE-backed.
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Experience standing up or running an AI governance council or similar review body.
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Familiarity with developer-grade orchestration frameworks (LangGraph or similar) at the evaluation level: enough to assess them and spec work for engineers.
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Experience partnering with CTO and security organizations on tool approval and security review.
Interview Integrity & Use of AI
We value authenticity, expertise, and real-time problem solving during our interview process. Candidates are expected to represent their own knowledge, experience, and thinking without the use of AI-assisted tools during interviews.
The use of any AI tools during interviews, including but not limited to real-time scripting, recording, transcription, response generation, or coaching tools, is strictly prohibited. This applies to phone, video, in-person, and technical or case-based interviews.
While we strongly value candidates who understand how to use AI tools effectively and responsibly, and this role specifically requires deep AI fluency, interviews must reflect the candidate’s own abilities and perspectives. Any candidate found to be using AI-assisted tools during the interview process will be immediately disqualified from consideration.
Why This Role Matters
Most companies hiring for AI right now are hiring experimenters. Togetherwork is hiring an operator. This is the role that turns AI from a pilot program into the actual operating model of a 700-person, PE-backed SaaS company, and does it on a timeline that creates real exit value, not just a story to tell investors.
You will sit at the intersection of every function in the company. You will build the Knowledge Infrastructure that reduces dependency on fractured and stale information and makes institutional knowledge scalable. You will run the guild of Builders who are learning to work differently. You will own the governance that keeps the company moving fast without taking on excess risk. This is not a support role for the AI strategy; it is the AI strategy in execution.
Benefits Include:
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Medical, dental, and vision insurance options
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100% Employer paid short/long term disability
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100% employer-paid Basic Life and AD&D insurance
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401(k) retirement plan with a 100% company match up to 4%
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Flexible paid personal/vacation time built on mutual trust and accountability
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10 sick days annually
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10 company paid holidays
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12 weeks paid parental leave
CCPA Disclosure Notice: Click Here
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