Founding Deployment Strategist

Recruiting From Scratch•San Francisco, CA

2d•Onsite

About The Position

We are building an AI-native workspace designed to make large-scale AI agent orchestration accessible to enterprise users. The platform enables knowledge workers to automate complex workflows, run thousands of AI agents concurrently, and scale repeatable workflows with a simple, intuitive interface. Founded in 2024, the company is an early-stage, venture-backed AI startup with a small, highly technical team. The team is approximately 10 people and includes builders with backgrounds at leading technology and financial institutions. The company operates with a high-ownership, in-person culture where team members are expected to move quickly, take initiative, and contribute across multiple areas of the business. The product sits at the intersection of AI/ML agents, enterprise SaaS, workflow automation, and spreadsheet-based productivity. Its infrastructure is designed to orchestrate massive numbers of concurrent agents, interact with LLM providers, and reliably process large volumes of data and tokens. This is an opportunity to join at a very early stage and play a critical role in turning early enterprise customer deployments into a repeatable, scalable motion.

Requirements

2–6 years of experience in client-facing roles.
Experience deploying, implementing, or managing technical products for enterprise customers.
Background in consulting, deployed engineering, technical account management, customer success, or enterprise-facing roles at a high-growth technology company.
MBB consulting experience is strongly preferred.
Experience at high-growth technology companies such as Palantir, Clay, Ramp, Cognition, or similar companies is highly relevant.
Demonstrated ability to work directly with sophisticated enterprise customers.
Experience owning customer onboarding, implementation, pilots, or account relationships.
Comfortable operating in an early-stage startup where processes and responsibilities are not always clearly defined.
Experience taking ownership of projects from initial requirements through execution and customer delivery.
Strong technical aptitude and ability to learn complex AI products quickly.
Ability to understand how AI/ML products and agent-based systems work at a practical level.
Comfortable explaining technical concepts to non-technical or semi-technical enterprise stakeholders.
Engineering, computer science, or other technical academic background strongly preferred.
Familiarity with AI/ML, LLMs, AI agents, automation, enterprise SaaS, or workflow technologies.
Ability to troubleshoot product issues and determine when to resolve versus escalate.
Comfortable working with technical product teams and translating customer requirements into actionable feedback.
Strong analytical and problem-solving abilities.
Able to understand complex workflows and identify opportunities for automation and process improvement.
Strong enterprise communication skills.
Experience managing customer onboarding and implementation.
Ability to build trust with senior and sophisticated customers.
Strong understanding of customer workflows and business objectives.
Ability to identify customer pain points and translate them into product or process improvements.
Experience managing multiple customer priorities simultaneously.
Commercial awareness and ability to identify expansion opportunities.
Comfortable participating in upsell, renewal, and account-growth conversations.
Strong interest in early-stage startups.
Comfortable with ambiguity and rapidly changing priorities.
High ownership and willingness to do whatever is required to make customers successful.
Ability to build processes from scratch rather than relying on existing playbooks.
Entrepreneurial mindset and strong bias toward action.
Comfortable working directly with founders and senior leadership.
Able to operate effectively without significant structure or supervision.
Willingness to work on-site five days per week in San Francisco.
Willingness to travel as required for enterprise customers.
Excellent written and verbal communication.
Executive-level presence with enterprise customers.
Sharp, analytical, and intellectually curious.
Highly organized and detail-oriented.
Strong judgment and ability to prioritize.
Proactive and self-driven.
Comfortable handling difficult customer situations.
Strong cross-functional collaboration.
Low-ego, highly accountable approach.
Strong sense of urgency and follow-through.
Comfortable operating in high-intensity environments.

Nice To Haves

MBB consulting experience is strongly preferred.
Engineering, computer science, or other technical academic background strongly preferred.

Responsibilities

Own onboarding, implementation, and pilot tracking for enterprise customers.
Manage the day-to-day customer experience for accounts currently supported by the founding team.
Serve as the first line of support for customer questions, troubleshooting issues and escalating when necessary.
Learn the product deeply and become a trusted technical partner to enterprise customers.
Translate complex AI capabilities into clear explanations and practical workflows for sophisticated buyers.
Build repeatable onboarding processes, deployment playbooks, templates, and customer success workflows.
Identify patterns across customer deployments and turn bespoke processes into scalable operating systems.
Work closely with customers to understand their workflows, requirements, pain points, and desired outcomes.
Identify opportunities for deeper product adoption and expansion within enterprise accounts.
Support and drive upsell conversations when additional use cases or workflows are identified.
Grow into owning a full book of enterprise accounts end-to-end.
Manage ongoing customer relationships, renewals, expansion, and strategic account management.
Partner closely with the founding team across customer success, product feedback, deployment strategy, and growth.
Operate independently in a fast-moving environment where processes are still being built.
Help shape the company's enterprise deployment strategy as the customer base grows.