Profound

Manager, Scaled Engagement

Profound · New York, NY
New York, NY $150K–$200K Posted 2026-09-10
Salary
$150K–$200K
Type
Full-time
Experience
8+ yr

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.

Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.

As the Manager, Engagement Management, Scale, you'll lead and develop a team of Engagement Managers responsible for driving successful implementation, adoption, and ongoing engagement with the Profound platform across our enterprise customer base. You'll set the strategic direction for the team, define and evolve engagement best practices, and ensure your EMs are equipped to deliver measurable outcomes for their customers. Partnering closely with leaders across Sales, Account Management, Product, and Engineering, you'll champion the voice of the customer, scale operational excellence, and play a critical role in shaping how the world's leading brands navigate the future of AI search.

What you'll do

  • Lead and develop a team of Engagement Managers focused on the scaled segment, coaching them on tech-touch strategies, customer health frameworks, and how to drive measurable outcomes across a high-volume book of business
  • Own team-level retention, adoption, and expansion metrics across hundreds and thousands of SMB and mid-market accounts, ensuring consistent delivery through both human and automated touchpoints
  • Design and evolve the scaled engagement playbook — building the systems, triggers, and lifecycle motions that enable the team to operate at scale without sacrificing customer outcomes
  • Partner with Product, Engineering, and Data to translate portfolio-level signals into automation improvements, tooling enhancements, and roadmap influence
  • Serve as the operational backbone for the Scaled CS function — defining how the team uses data to prioritize, intervene, and expand across accounts
  • Collaborate with Account Management and Sales leadership to align scaled engagement strategies with commercial goals and ensure seamless handoffs across the customer lifecycle
  • Recruit, onboard, and develop EM talent, building a team culture grounded in systems thinking, customer empathy, and continuous iteration

Who you are

  • 6–8+ years in Customer Success, with meaningful time in a Digital, Scaled, or Programmatic CS function — including 1–2+ years managing or mentoring a team. You operate at the intersection of CS, operations, and analytics, moving fluidly between strategic direction, systems design, and data interpretation without losing the thread.
  • A systems thinker who builds from scratch. You have a proven track record of delivering measurable customer outcomes — activation, adoption, NRR, retention — without a dedicated 1:1 relationship, and you've designed the infrastructure to get there: health scoring, segmentation logic, lifecycle automation, intervention playbooks, in-app flows, digital QBRs, and churn-save automations that moved real numbers.
  • Hands-on fluency with AI in your own workflow. You've prototyped agents, generated content, analyzed accounts, or replaced internal processes with LLMs — and you can talk concretely about what worked, what didn't, and what's next.
  • Direct experience running live 1:many engagements — webinar series, onboarding cohorts, communities, or academies — and the instinct to make them more repeatable every time.
  • Strong data instincts and technical literacy. You're comfortable analyzing trends, reading consumption dashboards, and translating product telemetry into triggers. SQL or lightweight scripting is a plus.
  • An excellent communicator with strong executive presence — and the ability to coach others on strategic conversations, not just run them personally. Most of your output is customer-facing copy, prompts, agent instructions, facilitation guides, and playbooks — tone, clarity, and specificity matter.
  • Deep understanding of the AI search space or adjacent marketing/SaaS categories. Experience in search or performance marketing is a strong plus.

Location

This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $150,000 to $200,000 before variable compensation (NYC). Profound’s total compensation package is designed to be competitive and includes base salary, variable compensation, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

#LI-PRO

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

MongoDB
$60K — 10th pctl $230K — 90th pctl
This role’s midpoint $175K vs. market median $130K for Operations roles
+35%
above median
Based on 19,000+ Operations roles with disclosed salary ranges tracked on NewJob.
Profound

Profound

Marketing Tech · Series C · New York, USA

Stage & Valuation
Series C · $1B
Key Investors
Lightspeed Venture Partners, Sequoia Capital, Kleiner Perkins
Open roles on NewJob
Most hiring in
Engineering (15) · Sales (12) · Marketing (10)
Profound is an AI visibility and content optimization platform that helps enterprise brands optimize their presence in generative AI search. The platform allows marketers to understand, analyze, and measure how their brand shows up in AI-generated answers.
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