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Togal AI via Ashby

GTM- Engineer

United States Level not stated
still open verified 2h ago posted 33d ago seen just now
Apply at jobs.ashbyhq.com

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 33d ago

The date the source published, not the day we noticed it (2026-09-09). Last seen at its source just now.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $150k–224.7k/yr

Middle 50% of 4070 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

HubSpotLLMMachine LearningRESTSQLSSOSalesforceTroubleshooting

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

We are an innovative technology company providing a cutting-edge, AI-powered cloud platform for the construction industry. Created by industry experts with deep estimating experience, our software dramatically streamlines the pre-construction process. Our solution uses advanced machine learning to automate traditionally time-consuming takeoff tasks, helping estimators work up to 80% faster while reducing costly errors.

Our collaborative platform enables real-time teamwork, instant drawing analysis, and features a revolutionary conversational AI interface that transforms how professionals interact with construction plans. Founded by construction industry veterans, our award-winning application automates the takeoff process, enabling estimators to analyze blueprints in seconds rather than hours or days.

The job in one line

You own the systems that turn raw signal into pipeline. Prediction models, campaign infrastructure, the AI that generates personalized outreach at scale. You inherit live systems carrying real revenue, and what you build is how we sell.

What you'll own
  • Predict the account before anyone touches it. Models for estimator count, seats, and expected ARR, each with confidence bands so reps know when to trust the number. Conversion scoring on top, and you own it through retraining as the data and the market shift.

  • Run the campaigns that carry real pipeline. Multiple segments, multiple channels: email, LinkedIn, voicemail. Every campaign is code you own. Routing, retries, dedup, deliverability. You're on the hook for uptime and output quality, not just the initial build.

  • Generate the personalization. Per-rep landing pages and AI avatar video, tracked end to end so a booked demo attributes to a specific asset.

  • Ground the AI in real calls. Call intelligence as a knowledge endpoint feeding prep docs, follow-up emails, avatar scripts, and page copy, so outbound cites objections we've genuinely heard, not generic messaging.

  • Turn signals into tasks. Job changes, promotions, news, clicks. Scored and routed into prioritized rep actions, not another ignored notification.

What you'll bring
  • 5+ years in growth engineering, RevOps, or a technical marketing or sales ops role you can tie directly to pipeline or revenue moved.

  • Strong fluency in a programming language. You write, debug, and validate production code, not just generate it.

  • Applied ML experience. You've built, trained, and maintained a model in production, and you can tell a non-technical stakeholder exactly how much to trust it.

  • Deep comfort with REST APIs, webhooks, OAuth, and rate limits, plus real patience for the debugging that follows when vendor APIs fail in undocumented ways.

  • Strong SQL and enough data sense to know when a model is telling you something real, and to say so out loud when it isn't.

  • Hands-on with a modern GTM stack: HubSpot or Salesforce, plus tools like Clay, Apollo, Instantly, n8n.

  • Practical LLM experience. Prompting, function calling, evaluating output, knowing when a model is the wrong tool.

  • A working v1 this week beats a perfect spec next month, and the judgment to know which one a given problem actually needs.

Bonus

Construction or AEC background. ML research background. Frontend or backend depth. Experience scaling a GTM engineering function as the team around it grows.

More about the role

You're inheriting a function that already exists and already carries real pipeline. There's no greenfield here. The job is judgment under live conditions: knowing what to fix first, what to leave alone, and when a quick v1 beats a perfect spec.

The stack is wide, and you'll move between retraining a model and fixing a broken webhook in the same week. Vendor APIs fail in undocumented ways. Labels are imperfect and attribution is never fully clean, and you have to be comfortable deciding on noisy data while saying out loud how noisy it is.

We are an equal opportunity employer committed to building a diverse team. We welcome applications from candidates of all backgrounds who are passionate about using technology to transform the construction industry.

Join us in revolutionizing pre-construction estimating with the power of AI!

Apply at jobs.ashbyhq.com