Head of Solutions Engineering, Perplexity AI
$220-300k
4 days a week in office
Conversational AI-powered search tool
Be an early applicant
Conversational AI-powered search tool
1001+ employees
Be an early applicant
$220-300k
4 days a week in office
1001+ employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- Experience leading solutions engineering and operations teams
- Strong track record of designing and implementing automated systems that improve efficiency
- Experience working with engineers to scope, build, and deploy solutions
- Skilled at adapting operational challenges into scalable solutions
- 5+ years in customer success or general management roles, with leadership experience
- Hands-on approach: able to analyze details and resolve issues as needed
What the job involves
- Perplexity is looking for a Head of Solutions Engineering to build our solutions engineering and customer success operations teams
- Your mission is to build the tools, systems, and processes needed to improve user satisfaction, listen to user feedback, and represent the voice of the customer
- In this role, you will manage people, design automations, build tools, and keep operations running smoothly at scale
- Build systems: Lead engineers and operations to design and build automated systems and internal tools that make customer success responsive and high-quality
- Decide when to leverage external software and how to connect with internal systems
- Streamline processes: As AI advances, we will need fewer manual steps, better workflows, and more powerful tools that will allow individuals to own larger scope and work on a higher strategic level
- Accumulate knowledge: Develop onboarding, training, support processes, help center content, and knowledge bases, leveling up the team’s knowledge while raising the bar for quality
- Gather data: Track key metrics like response times, resolution rates, and customer satisfaction
- Use both quantitative and qualitative data to iteratively guide improvements
- Scale: Ensure that internal systems and teams can scale as our user base grows
- Pre-sales: Develop compelling technical demos that accurately communicate a breadth and depth of product features
- Communicate the qualitative and quantitative value of a rapidly changing product
- Post-sales: Leading integration and technical debugging, end-user training, and gathering customer feedback iteratively
Our take
As AI continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.
Reaching impressive heights of 22M monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. And what sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.
The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Sep 2025
$200m
LATE VC
Jul 2025
$100m
LATE VC
Total funding: $1.7bn
Company HQ
Financial District, San Francisco, CA
Leadership
Aravind Srinivas
(Co-Founder, President & CEO)Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.
Denis Yarats
(Co-Founder & CTO)Prior to co-founding Perplexity in 2022, Denis was an AI Research Scientist at Facebook AI Research, a Staff ML Engineer at Quora, and a Software Development Engineer at Microsoft.
Johnny Ho
(Co-Founder & CSO)Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.
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