Profound

AI

Manager,SupportEngineering

$150–220k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Support Engineering at Profound. Skills: Support Engineering, AI, SaaS. Hire technical Support Engineers. Onboard technical Support Engineers”

What You'll Achieve.

Shorten loop between customer pain and shipped fixes; Scale faster than ticket volume

Industry & Context.

AI
Problems you'll solve

Root cause analysis; Troubleshooting; Debugging; Problem solving

Eligibility Requirements

24/7 coverage, On-call rotations, Paging policies, Handoff rituals

What They're Looking For.

Must Have

5+ years technical support experience, 2+ years managing engineers, Proven track record building support engineering function, Hands-on technical depth, Operator's instinct for 24/7 coverage, Systems thinker, Excellent written and verbal communicator, Data-driven leader, Recruit, coach, retain technical talent, Comfortable navigating ambiguity

Nice to Have

Experience in AI, Experience in developer tools, Experience in infrastructure, Experience in marketing technology

What You'll Do.

Hire technical Support Engineers

Onboard technical Support Engineers

Develop technical Support Engineers

Design 24/7 coverage model

Operate 24/7 coverage model

Manage workload distribution

Build escalation system

Define severity matrices

Define resolution SLAs

Define paths into Engineering

Define customer communication playbooks

Own team's core metrics

Drive continuous improvement

Partner with Engineering

Feed signal into roadmap

Identify recurring defects

Shorten loop between pain and fixes

Collaborate with Customer Success

Collaborate with Account Management

Define technical support experience

Ensure clean handoffs

Support pre-sales technical questions

Support security reviews

Support compliance reviews

Support integration scoping

Partner with Marketing

Develop deep expertise

Ensure team is technically fluent

Serve as escalation point

Act as hands-on contributor

Champion voice of customer

Champion voice of Profound externally

How You'll Work.

Team & Collaboration

Global team; Cross-functional teams; Engineering; Product; Customer Success; Account Management; Sales; Solutions; Marketing

Communication Scope

Executive presence; Written communication; Verbal communication; Customer-facing communications; Boardroom-ready thinking

Process & Methodology

Roadmap planning

Full Job Description

Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us. We are hiring AI Strategists, Business to do the strategic and analytical work of translating what AI systems say about brands into decisions that executives can act on. This role is high-visibility and high-judgment. You will work directly with marketers, operators, and senior leadership at some of the world's most recognized brands, helping them understand their AI presence, build the business case for AEO investment, and turn platform data into structured, boardroom-ready thinking. What you’ll do - Stand up Profound’s Support Engineering function from the ground up — hire, onboard, and develop a global team of technical Support Engineers - Design and operate a 24/7 follow-the-sun coverage model, with clear on-call rotations, paging policies, and handoff rituals between regions - Manage workload distribution and capacity as ticket volume and product complexity grow - Build the escalation system end-to-end: severity matrices, response and resolution SLAs, paths into Engineering for code-level issues, and customer communication playbooks for incidents - Own the team’s core metrics — first response time, time to resolution, SLA attainment, CSAT, backlog aging, and ticket deflection — and drive a culture of continuous

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