Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
Job: You will own customer outcomes across Parallel's strategic accounts and make retention and expansion a deliberate motion as we scale. You'll define what success looks like with our customers before go-live and build the dashboard tying every metric back to the economic case the GTM team sold against. You'll partner with Deployed Engineering on strategic deployments, build reference architectures for the workloads the customer base is concentrating around, and run a structured operating cadence that turns realized ROI into expansion, renewals, and references the AE team carries into the next deal. You'll also own the customer → product feedback loop, routing usage signals and friction patterns into prioritized input Product can act on.
You: Have run post-sale at an infrastructure or AI company and can speak credibly about agent frameworks, background-agent workloads, and how our APIs compose into a real customer workflow. You've defined outcome metrics tied to commercial impact before, and you know the difference between a customer who's using the product and a customer whose ROI is visible enough to expand against. You see expansion whitespace early, you know when a renewal is at risk before the QBR, and you're energized by building the function from scratch rather than inheriting one.
Life at ParallelOur team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
Own customer impact: It’s on us to ensure real-world outcomes for our customers.
Obsess over craft: Perfect every detail because quality compounds.
Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
Create win-wins: Creatively turn trade-offs into upside.
Make high-conviction bets: Try and fail. But succeed an unfair amount.
Competitive salary
Generous equity
Visa sponsorships
401K plans
Daily lunch & office snacks
Dinner at the office
Unlimited vacation
Caltrain pass reimbursement
Skills Required
- Experience running post-sale/customer success at an infrastructure or AI company
- Knowledge of agent frameworks, background-agent workloads, and how APIs compose into customer workflows
- Experience defining outcome metrics tied to commercial impact and building dashboards to track them
- Track record driving retention, expansion, renewals, and identifying renewal risk early
- Ability to partner with engineering and product to deliver strategic deployments and close the feedback loop
- Ability to work fully in-person at Palo Alto and San Francisco offices
- Comfort and enthusiasm for building the customer success function from scratch
Parallel Web Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parallel Web Systems and has not been reviewed or approved by Parallel Web Systems.
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Equity Value & Accessibility — Equity is prominently advertised as “generous” across roles, paired with competitive base pay. A reported ML Engineer package including substantial stock indicates equity is a meaningful component.
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Wellbeing & Lifestyle Benefits — Daily lunch, snacks, and dinner are provided, with Caltrain pass reimbursement supporting commuters. In‑person offices in Palo Alto and San Francisco enable these onsite perks.
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Retirement Support — A 401(k) plan is explicitly listed on multiple job postings. This establishes a baseline layer of retirement support alongside cash and equity.
Parallel Web Systems Insights
What We Do
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of API for AIs to do more with web data.
