
ABM at Parallel Web Systems (San Francisco, CA / Palo Alto, CA)
Parallel Web Systems· San Francisco, CA / Palo Alto, CA·
Role details
Job description
About us
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 build Parallel’s account-based marketing program from the ground up. You’ll design and run 1:1, 1:few, and 1:many campaigns against our highest-value enterprise accounts, working directly with the enterprise sales team to pick targets, map buying committees, and personalize outreach that moves deals forward. You’ll own the campaigns end to end: messaging, channel mix across digital, email, direct mail, events, and executive engagement, and the measurement that proves what worked. You’ll partner with our senior enterprise marketer as a hands-on individual contributor, turning one-off plays into repeatable programs. You’re accountable for account engagement, funnel conversion, and marketing-sourced pipeline. You: Have run ABM and enterprise demand gen at a high-growth B2B technology company, ideally in AI, developer infrastructure, or cloud. You’ve worked inside CRM, marketing automation, intent data, and account intelligence tools, and you use them to segment, target, and measure rather than to report activity. You think in numbers: you know which accounts are warming, which campaigns earned their spend, and why. Your bar for content is high. You write for the channel and the format, you protect the brand’s voice, and nothing you ship reads like AI slop. You use AI-native tools fluently but don’t lean on them for ideas. You’d rather build the program yourself than manage someone else doing it.
Life at Parallel Our 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.
Compensation & benefits
- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
Why work at Parallel Web Systems
- Culture: Described as “fully in-person,” with locations in Palo Alto and San Francisco. The company emphasizes serendipity, flat organization, and a talent-dense environment where employees can learn from each other daily parallel.ai/careers.
- Engineering Focus: The entire engineering team is based in Palo Alto. Roles span back-end/API, front-end, infrastructure/scaling, model training, retrieval/indexing, and search ranking. They are “AI-first,” building and dogfooding frontier software parallel.ai/careers.
- Values: Own customer impact, obsess over craft, accelerate change, create win-wins, and make high-conviction bets parallel.ai/careers.
- Benefits: Competitive salary, equity options, 401K plans, daily lunches & snacks, unlimited vacation, Caltrain pass, and visa sponsorship parallel.ai/careers.
- Team Background: Talent is drawn from top companies including Meta, Patreon, Amazon Web Services, Waymo, Cognition, and Andreessen Horowitz. Alumni go on to firms like Google DeepMind, Kleiner Perkins, and other AI startups linkedin.com.