Headquarters: Remote – North America

Why AssemblyAI

AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.

We are one of the most capital-efficient AI companies on the planet – with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That’s not an accident; it’s a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale – processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.

If you’ve ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you’ll actually know everyone’s name.

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!

About the Role

We’re hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning.

Most of what a sales ops team used to do by hand is now something you can write software to do. Finding every company building voice AI before they contact us. Researching an account and drafting the first email. Watching product usage and telling an AE when a customer is about to expand or churn. Keeping the CRM clean without anyone filling in forms. You will build those systems, run them in production, and be judged on whether pipeline and revenue move.

Your users are our AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size.

What You’ll Do

Write code every day. Python services, SQL models, scheduled jobs, and small internal apps are most of the job. You’ll use Claude Code and similar tools to ship in days what used to take a quarter.
Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. Design them, give them tools and data, evaluate their output, and keep them running.
Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores.
Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep’s queue.
Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop.
Keep funnel data trustworthy: routing rules, field governance, and attribution.
Prototype fast, measure what works, kill what doesn’t, and work directly with Sales and Marketing leadership on what to build next.
Document what you build so it keeps running without you.

What You’ll Need

4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on.
Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring.
Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent’s output is good, and you know when a plain script is the better tool.
AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce.
Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship.
Curiosity about how a sales org works. You don’t need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly.
A builder’s mindset with an operator’s judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue.
Low ego, high ownership, and comfort being the single-threaded owner of an entire domain.

Nice to Have

Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay.
dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack.
Time at a developer-facing or API-first company, or selling to technical buyers.
You’ve been the first engineer in a sales or growth org and built the function from scratch.

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $160,000 to $220,000

AI to Interview:

If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process.

GDPR privacy notice:

Candidates from the EU should review this job applicant privacy notice before applying.

Keep Exploring AssemblyAI:

Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway
Try the Playground
Our $50M Series C fundraise
Check us out on YouTube!

To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-gtm-ai-engineer

Career Guide for Senior GTM AI Engineer at AssemblyAI

Job Overview

The Senior GTM AI Engineer is a crucial role at AssemblyAI, focusing primarily on creating software solutions that enhance sales processes within the company. This position involves building automated systems that help identify potential clients, streamline outreach, and maintain customer relationship management (CRM) data accuracy, all while working closely with sales teams to improve overall productivity.

Key Responsibilities

Coding and Development: Write code primarily in Python and SQL to develop pipelines and internal tools.
Automation: Create agents for tasks such as account research, lead qualification, and CRM maintenance.
Data Monitoring: Analyze product usage data to generate actionable insights for the sales team.
Integration: Ensure smooth data flow between existing tools and systems.
Measurement and Improvement: Prototype solutions quickly, evaluate their effectiveness, and iteratively enhance them.
Documentation: Maintain comprehensive records of what you develop for future reference.

Required Skills and Knowledge

Technical Skills

Programming Language Proficiency: Strong expertise in Python and SQL.
Automation Experience: Knowledge in building production automations including APIs and webhooks.
AI Knowledge: Familiarity with large language models (LLMs) and their practical applications.

Soft Skills

Curiosity: A genuine interest in understanding sales dynamics.
Ownership: Ability to take full responsibility for projects and outcomes.
Collaboration: Effective communication skills, particularly in a remote work environment.

Tools and Technologies

BigQuery and Looker: Experience in working with data warehouses and BI tools.
CRM Platforms: Familiarity with Salesforce or similar CRM systems.

Certifications or Training

Relevant Degrees: A background in computer science or a related field.
Online Courses: Knowledge in data engineering, automation, and AI tools will enhance your candidacy.

Interview Preparation

Common Interview Questions

Describe your experience with Python and SQL.
- Advice: Prepare specific examples where you utilized these languages in past roles.
How have you implemented automation in your previous work?
- Advice: Discuss a project where you reduced manual tasks through coding.
What is your understanding of CRM systems?
- Advice: Mention specific CRMs you’ve used and how you contributed to their efficiency.
Can you explain a complex problem you solved?
- Advice: Use the STAR (Situation, Task, Action, Result) method to articulate your experience.
What is your approach to debugging code?
- Advice: Describe your systematic troubleshooting process.
How do you prioritize your tasks when working on multiple projects?
- Advice: Share a time management strategy you employ in your work.
Have you ever made a mistake in your coding? How did you handle it?
- Advice: Be honest, focus on what you learned and how you corrected it.
What types of AI applications have you worked on?
- Advice: Give detailed examples, quantifying your contributions where possible.
How do you measure the success of your implementations?
- Advice: Discuss key performance indicators (KPIs) that you track.
Why do you want to work at AssemblyAI?
- Advice: Research the company’s mission and values, and relate them to your professional goals.

Important Topics to Review

Automation strategies and practices.
Sales operations and processes.
Data analysis techniques.
Familiarize yourself with AssemblyAI’s products and recent industry news.

How to Increase Your Hiring Chances

CV Improvement

Tailor Your Resume: Highlight relevant experience and skills that match the job description.
Use Keywords: Incorporate specific terms from the job posting to pass applicant tracking systems.
Quantify Achievements: Provide metrics that demonstrate your contributions (e.g., “Increased efficiency by 30% through automation”).

LinkedIn Profile Optimization

Professional Summary: Reflect the same enthusiasm and expertise as in your resume.
Endorsements and Recommendations: Seek endorsements for key skills and recommendations from past colleagues or supervisors.

Portfolio or Project Ideas

Build Automation Projects: Create GitHub repositories showcasing automated systems or tools you’ve developed.
Data Analysis Reports: Share projects where you analyzed data to drive decision-making.

Learning Recommendations

Online Courses: Look for courses on platforms like Coursera or Udacity focusing on AI applications and automation.
Read Industry Blogs: Stay updated with trends in Voice AI and technology developments related to CRM systems.

Career Growth

Starting as a Senior GTM AI Engineer can pave the way for various career paths, including:

Lead Engineer: Taking charge of larger projects and teams.
Product Manager: Transitioning into roles that oversee product development and strategy.
Data Scientist: Utilizing your coding and data analysis skills in a more research-focused capacity.

With experience and consistent performance, you can achieve significant career advancement, contributing to the growth of AssemblyAI and its mission in the Voice AI industry.

How to Apply

Apply for this position through the original job source:

Apply Here