Togal.AI Logo

Togal.AI

GTM- Engineer

Posted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Own the technical systems that convert market signals into revenue pipeline. Build and maintain prediction models, multichannel campaign infrastructure, AI-driven personalization, call intelligence, and signal-to-task workflows. The role requires production coding, applied machine learning, API integrations, SQL, CRM and GTM stack expertise, and practical LLM usage. You will manage live revenue systems, improve attribution and data quality, and balance rapid experimentation with reliability.
The summary above was generated by AI

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!

Similar Jobs

4 Days Ago
In-Office or Remote
Newark, NJ, USA
95K-119K Annually
Junior
95K-119K Annually
Junior
Software
Build and maintain AI-powered go-to-market systems that automate sales, expansion, marketing, forecasting, handoffs, and post-sales workflows. Optimize processes, maintain CRM data quality, test and monitor automations, connect GTM tools, and translate operational needs into scalable technical solutions. The role uses AI and iPaaS tools to surface next-best actions, improve deal velocity, and support customer lifecycle operations.
Top Skills: APIsBoomiCeligoClaudeClayGeminiGongHubspotMarketoMcpN8NSalesforceSalesloftSQLWebhooksWorkatoZapier
12 Days Ago
In-Office or Remote
120K-140K Annually
Senior level
120K-140K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Own end-to-end projects across DigitalOcean’s go-to-market systems, including implementations, integrations, automations, data flows, Salesforce configuration, and AI-powered workflows. Handle tier 2 escalations, troubleshoot cross-system issues, coordinate with vendors, contribute to solution design, document reusable patterns, and mentor an engineer. The role requires deep Salesforce expertise, integration and API experience, SQL and warehouse fluency, familiarity with code, and the ability to deliver durable production solutions.
Top Skills: ApexAPIsClayDealhubFivetranJavaScriptKaiaLlmsMcp IntegrationsOutreachPlanhatPythonSalesforceSnowflakeSQLSumble
12 Days Ago
In-Office or Remote
120K-140K Annually
Senior level
120K-140K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Owns end-to-end projects across DigitalOcean’s go-to-market systems, including implementations, integrations, automations, data flows, Salesforce configuration, tier 2 troubleshooting, and AI-powered workflows. The role partners with technical program management and engineering stakeholders on solution design, coordinates with vendors, resolves root causes, documents reusable patterns, and mentors an engineer. Systems include Salesforce, Outreach, Planhat, DealHub, Clay, Snowflake, and related integrations.
Top Skills: ApexAPIsClayDealhubFivetranJavaScriptKaiaLlmsMcpOutreachPlanhatPythonSalesforceSnowflakeSQLSumble

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account