Field Engineer

Company shown to members 🔒 · Remote · US only

US onlyExperience not stated$180K–200K/yrPublished 9 September 2026Looks fresh

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Experience not stated
Where you can live
US only
Skills and tools
sql, python
Degree or licence
Mentioned (bachelor's)
Job type
Full-time

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Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
$180K–200K/yr
Experience
Experience not stated
Employer publication date
9 September 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

ABOUT US

Building the ranking intelligence layer for the internet.

The company provides an integrated platform that pairs bleeding-edge frontier ranking models with the infrastructure to run them in production at sub-25ms latency and enterprise scale. The world's largest retailers, marketplaces, and travel platforms use the company to rank, recommend, and personalize, with an autonomous research engine that compounds model performance into revenue and margin lift measured in hundreds of millions of dollars per customer.

ABOUT THE ROLE

Partner with Account Executives as the technical lead across full-cycle enterprise sales, owning the technical win from first conversation through signed agreement and expansion. Run compelling demos and technical presentations tailored to both business and technical buyers — CTOs, Chief Product Officers, heads of search and personalization, and the engineering and ML teams that evaluate us. Design and drive proof-of-value motions — pilots, A/B tests, and technical evaluations — that translate the company's ranking performance into quantified revenue and margin lift. Serve as the technical authority in eight-figure sales cycles, navigating technical evaluation teams, security reviews, and architecture discussions alongside procurement and legal work streams. Scope customer environments, map the company's Rank/Build/Run architecture and RRI to each customer's surfaces and KPIs, and craft the technical narrative that arms champions to sell internally. Partner with AEs to build rigorous, procurement-ready business cases. Act as the connective tissue between the field and product, ML, and forward deployed engineering. Help write the playbook: our demo motion, POC frameworks, and technical sales collateral are still being built, and you'll hold the pen.

ABOUT YOU

8+ years of pre-sales / sales engineering / solutions engineering experience supporting enterprise software sales cycles. Strong customer-facing communication skills. Have supported technical products — infrastructure, ML/AI, data platforms, search/personalization. Have run demos, built POCs, and driven technical evaluations that closed seven- and eight-figure deals. A natural partner to AEs, owning the technical win end to end. Genuine business acumen. Know how to identify, develop, and arm technical champions. Communicate with equal fluency to a CPO and a staff engineer. A builder who wants to shape frameworks, not just run them. Full ownership and comfort navigating ambiguity. Thrive in fast-paced, early-stage or hypergrowth environments. Bachelor's degree or comparable experience, ideally in a technical field.

Strong Candidates May Also Bring

Have supported sales into retail, e-commerce, marketplaces, or travel verticals. Hands-on experience with recommendation, ranking, search, or personalization systems. Comfortable with SQL, Python, or working directly with APIs and data pipelines. Have run pilots or proof-of-value motions with usage-based, value-based, or lift-share commercial models. Worked alongside forward deployed engineering or professional services teams.

What We Offer

High-impact role with direct influence on how a hyper growth AI company wins its most important technical evaluations. The opportunity to demo category-defining technology with proven, quantified customer results. Ownership of the technical sales motion and the frameworks that scale it. Direct partnership with the founding team, product, and ML organizations. Very competitive base + bonus/commission + meaningful equity.

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