COMMAND DASHBOARD
Company snapshot: ~47,000 employees globally; public company (NASDAQ: TASK); $110K–$150K base range for this role (total comp up to $350K at senior BD level)
Revenue concentration risk: The majority of AI services revenue is tied to a small cluster of FAANG-class clients — Meta, Google, and adjacent Big Tech. As those clients build internal AI ops, outsourcing budgets are contracting and TaskUs absorbs the compression first.
Segment clarity gap: AI services (data labeling, RLHF, annotation) is the fastest-growing unit but operates without a dedicated sales motion. It competes against Scale AI, Appen, and Surge AI with no differentiated outbound engine.
Vertical coverage: Healthcare AI, financial services AI, and defense/government AI represent tens of billions in addressable data services spend — none currently penetrated at meaningful scale.
Sales cycle drift: Enterprise buyers for AI training services are becoming more sophisticated, extending cycles and demanding outcome-based pricing — a motion TaskUs has not yet systematized.

TaskUs needs someone who understands what enterprise AI buyers actually purchase — not outsourced labor, but verified AI capability infrastructure. That person must be able to architect the outbound revenue system for a new vertical (non-FAANG enterprise), build the positioning that separates TaskUs from commodity labeling shops, and run the sales motion from pipeline creation to close. Filling this gap unlocks an estimated $40M–$80M in diversified ARR that currently sits untouched. Not filling it means continued FAANG dependency at a moment when those clients are actively reducing vendor spend.

Days 1–90Q1 — FOUNDATION
Days 91–180Q2 — BUILD
Days 181–270Q3 — SCALE
Days 271–365Q4 — OPTIMIZE
Conservative

$6M in new non-FAANG ACV; FAANG concentration at 70%

Target

$10M in new non-FAANG ACV; 3 new verticals with active clients; FAANG concentration at 65%

Stretch

$18M in new non-FAANG ACV; government vertical in active procurement; 5 reference enterprise clients across healthcare, fintech, and defense

Strategic Summary

Core Opportunity

TaskUs needs to diversify beyond FAANG dependency before those clients further reduce vendor spend. Healthcare AI, financial services AI, and defense/government AI represent tens of billions in addressable data services spend — none currently penetrated at meaningful scale.

Execution Thesis

Deploy AI-powered prospect intelligence, automated qualification workflows, competitive displacement playbooks, and outcome-based pricing to deliver $6M–$18M in new non-FAANG ACV — reducing FAANG concentration from ~80% to under 65% and building the foundation for a $40M+ diversified AI services run rate.

Production systems, not theory. Revenue captured, not demos given.