Auctor — Software Engineer

Type: Full-time | On-site (5 days/week) | New York City, NY Compensation: $175,000–$290,000 + early-stage equity Hiring count: 1 Visa sponsorship: Yes — H-1B, O-1, OPT Reports to: Not specified on role page

About Auctor

Auctor is building the AI layer for professional services and software implementation — the brain behind solution engineers, forward-deployed engineers, and onboarding teams, automating the documentation, discovery, and decision-making behind $400B+ in services work. They're targeting one of the largest software categories of the decade.

Founded: 2025 | Team size: 11–50 | Stage: Seed Industry: AI Tools Website: getauctor.com Office: New York City, NY

Why Candidates Should Join

• Massive category: AI layer for professional services and software implementation, automating the work behind $400B+ in services spend.
• Real ownership: Own product surfaces end-to-end — technical design through implementation, launch, and iteration — working directly with design and customers.
• Early and well-positioned: Seed-stage team (founded 2025), top-of-market salary plus early-stage equity, fast-moving in-person NYC team.

Intake Call Summary

• An Intake Video is present on the Contrario role page, but no transcript was captured in the pasted HTML — this section cannot be populated.

The Role

A Software Engineer, Product who owns and ships features end-to-end across Auctor's core product surfaces, working closely with design, operations, GTM, and deployed-services teams to turn complex enterprise workflows into simple, powerful interfaces. In person in NYC, 5 days/week.

What You'll Be Doing

• Build and iterate on user-facing product experiences for AI-powered collaborative workflows
• Own features end-to-end, from technical design through implementation, launch, and iteration
• Work directly with design and customers to translate complex enterprise workflows into simple, powerful interfaces
• Build rich document generation, synthesis, and review experiences on top of LLM infrastructure
• Develop integrations and data surfaces that connect enterprise tools (Confluence, Jira, SharePoint, etc.) into seamless product workflows
• Drive product quality through instrumentation, experimentation, and tight feedback loops with users

Tech stack: Full-stack — React/Next.js front end, APIs and data layer behind it, LLM infrastructure, enterprise integrations (Confluence, Jira, SharePoint)

Requirements

• Strong fundamentals in full-stack engineering or AI integration and can ship features end-to-end
• Comfortable working full-time in NYC office
• Strong communicator and team player
• Strong company backgrounds and experiences
• No school pedigree required, but must show extremely strong builder capability (active GitHub, won Hackathons/built projects)

Green Flags

• Demonstrated ability to ship product fast (personal projects, internships)
• High learning velocity and autonomy
• Strong cultural fit: humble, hardworking, low-ego
• Interest in joining an early-stage team
• Solid proficiency in React/Next.js or backend infra

Red Flags

• Slow execution speed or inability to adapt quickly
• Needing hand-holding to complete core features
• Preference for remote/9-to-5 lifestyle
• Sloppy code with basic bugs in PRs
• Lack of motivation to learn new technologies on the fly

Role Details

Salary$175,000–$290,000EquityEarly-stage / competitive (% not specified)On-site policyIn person, NYC, 5 days/weekVisa sponsorshipYes — H-1B, O-1, OPTExperience4+ years (post-BS/MS)Employment typeFull-timeLocationNew York City, NY

Screening Questions

None specified on the role page beyond the Contrario form's required field (Phone Number). No call-only screening questions were provided.

Interview Process

Stages as listed on the role page (pipeline-management states "Pending Approval" and "Backlog" excluded): Stage 1 — Initial Screen Stage 2 — First Round Stage 3 — Second Round Stage 4 — Work Trial Stage 5 — Offer Stage 6 — Hired — Candidate accepts and starts.

Note: stage durations/descriptions were not provided on the role page.

Ideal Companies & Backgrounds

Databricks, Perplexity AI, Ramp, Stealth LLM startups, Palantir Technologies, Citadel, Notion, Figma, Rippling, Plaid, XAI

Ideal Candidate Profiles

For reference only — do not source these specific profiles. Labeled on the role page as "Ideal Candidates -- DO NOT CONTACT."

TJ Bai — github.com/tjbai Hritik Sapra · Julian Ng-Thow-Hing · Tarik Yildirim · Clement Ou · Wei Cheng Wang · Atticus Colwell · Sarah B. · Ernest Wong · Alex P. · Royce Sun · Herbert Wang · Manu Gupta · Jake Sager · Johnson Su · Ryan Santhoshkumar · Rohan Sinha · Calvin Belden

Only names rendered in the pasted HTML; LinkedIn/website URLs were behind icon buttons and not captured (only TJ Bai's GitHub was visible).

Rejected Candidate Feedback

• None provided on the role page.