Traversal
Senior Manager, Product Marketing
New York · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$18,314 more — $168,314 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $168,314 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Marketing Managers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Marketing Managers (11-2021) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This is a rare opportunity to join during a foundational stage of growth, where you'll have an outsized impact on how customers experience and understand Traversal.
- You'll work cross-functionally with product, engineering, and sales teams to translate complex technical concepts into clear, compelling narratives that resonate with SREs, platform teams, and engineering leaders.
- If you thrive in high-ownership, high-velocity environments-and are excited to help define how AI-native infrastructure products come to market-we'd love to meet you.
Responsibilities
- Build and execute Traversal's product marketing strategy across positioning, messaging, content, and product launches.
- Develop technical marketing content, including website copy, case studies, technical blogs, videos and product collateral.
- Support community-building initiatives through events, content, and partnerships that engage SREs, platform teams, and the broader AI infrastructure ecosystem.
- Partner with product management and engineering to shape roadmap decisions based on market and user insights.
- Build early sales enablement programs and materials to help our team tell the Traversal story effectively.
- In this role, you'll define how we tell Traversal's story, shape our positioning, and drive go-to-market execution as we bring our agentic observability platform out of stealth.
- You'll work closely with our CEO and BizOps lead to translate learnings from founder-led sales into a repeatable playbook as we build out our sales function.
- You'll create technical marketing content, drive customer and competitive research, and build early sales enablement programs to support our market expansion.
- Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.
- We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.
Requirements
- Strong ability to dive deep into technical products and communicate them effectively to both technical and business audiences.
- Experience working closely with product and engineering teams in fast-paced, ambiguous environments.
- Excellent written and verbal communication skills, with the ability to clearly explain complex technical concepts.
Nice to have
- Passion for AI innovation and a desire to help define how AI-native infrastructure products go to market.
- Familiarity with AI or LLM-powered products.
- Individual compensation is determined by experience, skills, and job-related knowledge.
- Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park.
- This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.
Compensation
- We offer competitive compensation, startup equity, health insurance, and additional benefits.
- The U.S. base salary range for this full-time, in-person role in New York is $150,000 - $300,000 plus equity and benefits.
- Our salary ranges are based on location, level, and role.
- Individual compensation is determined by experience, skills, and job-related knowledge.
- We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
Benefits
- We'll make sure you're fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks.
- Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly.
Company info
- Traversal https://www.traversal.com/ is the AI Site Reliability Engineer (SRE) for the enterprise-already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents.
- Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.
- Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise.
- Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from
- MIT, Harvard, and Berkeley, to world-class engineers from industry:
- Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve.
- Without the entire team, none of this would be possible.
This listing is sourced directly from Traversal's careers page and normalized into a canonical job model.