Senior AI Strategist – MSP Division

PressWAustin, TX
$130,000 - $160,000Onsite

About The Position

PressW is a firm that builds AI systems for ambitious companies, focusing on delivering real solutions for clients rather than just theoretical possibilities. They have a track record of shipping over 70 production AI solutions, serving more than 40 clients across seven industries, and generating over $50M in profit gains. PressW operates across three divisions: Managed AI (MSP) for institutional investors, AI Engineering for embedding teams with clients, and AI Transformation for roadmap and readiness work. The Managed AI division specifically focuses on deploying custom agents into workflows for private equity firms, venture capital funds, asset managers, and capital markets clients to automate tasks like document reading, memo drafting, target scoring, and portfolio monitoring. The AI Strategist role is within the Managed AI division and involves running client relationships with institutional investors. The strategist will lead discovery sessions, manage client communications and timelines, synthesize client needs into requirements for the engineering team, and support the development and deployment of AI agents and skills. This role acts as the primary point of contact for clients, ensuring synchronization between clients, engineers, and project progress. The strategist will gain insights into how influential investors operate and how AI is deployed within real firms.

Requirements

  • 4+ years in a client-facing or coordination-heavy role (e.g., solutions architect, sales or solutions engineer, consulting analyst, account or project coordinator). Internship and project experience are considered.
  • Hands-on experience with Claude or similar AI tools for practical work.
  • Exceptional communication skills: credible with senior stakeholders, fast and reliable via email/Slack, comfortable representing the team to clients.
  • Relentless organization: ability to manage multiple threads, ensure follow-ups, and manage scheduling effectively.
  • Genuine curiosity about AI and how institutional investors operate.
  • Eagerness and ability to learn quickly across new domains, tools, and clients.
  • Proactive and hands-on approach: preference for solving problems rather than escalating, taking ownership without prompting.
  • Must be based in Central Time (Austin preferred).

Nice To Haves

  • Experience running user interviews, discovery, or requirements gathering.
  • Exposure to private equity, VC, asset management, or other institutional investors.
  • Degree in computer science or equivalent professional experience.

Responsibilities

  • Run discovery interviews with deal teams and principals, including scheduling, question preparation, conducting interviews, and synthesizing findings into buildable requirements.
  • Own scheduling and coordination for client calls, interviews, kickoffs, and internal syncs to ensure accounts progress without logistical delays.
  • Serve as the day-to-day communication channel for clients, ensuring responsiveness, clarity, and proactivity so clients are always informed.
  • Build, test, and help ship AI agents and skills in Claude for client workflows.
  • Participate in prototype reviews and translate client feedback into iterative improvements for shipped systems.
  • Maintain client status updates against a 1-5 delivery rubric (progress, sentiment, scope, capacity) and proactively identify risks such as timeline slippage, scope creep, and capacity issues.
  • Support the onboarding of new accounts by establishing strong communication and clear expectations from the outset.
  • Provide clean inputs (requirements, context, priorities) to engineers to facilitate efficient building.
  • Manage client relationships across a set of institutional investor accounts.
  • Lead discovery with deal teams.
  • Keep conversations and timelines moving.
  • Synthesize client needs into requirements for the engineering team.
  • Support the building of agents and skills that go live in client workflows.
  • Act as the connective tissue of accounts, ensuring clients, engineers, and work are in sync.
  • Own the loop between client requests and shipped solutions.
  • Learn how AI gets deployed inside a real firm.

Benefits

  • Structured ramp-up with an experienced team member.
  • Regular feedback.
  • Direct exposure to account management and Claude building processes.
  • Opportunities for increased account ownership and strategic scope, including large and complex engagements.
  • Equal opportunity employer.
  • Celebration of diversity.
  • Commitment to creating an inclusive environment.
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