GTM Engineer - Revenue Operations

Slang AI is redefining customer engagement through conversational AI, making every interaction seamless and efficient. Our mission is to transform the restaurant industry by providing the ultimate voice AI solution for consistently outstanding customer experiences.
At Slang AI, we believe how we build matters just as much as what we build. We foster a culture rooted in hospitality, ownership, and clarity, where every “Slangsta” feels valued, supported, and connected to the broader impact of our work in the AI-powered future of restaurants.
What Your Experience Will Be
As our GTM Engineer, you will build and optimize the systems that power our sales and marketing motion. You’ll sit at the intersection of engineering, data, and revenue ops—automating prospecting workflows, enriching lead data, building internal tools, and creating leverage for our AEs and BDRs. This is not a dashboard role. You will write code, ship automations, and build the technical infrastructure that makes our revenue teams radically more efficient. The ideal candidate is technical, scrappy, and obsessed with making revenue teams more productive.
Why You Belong Here & How You Will Grow
You’ll join a team that values clarity over complexity, outcomes over activity, and leverage over effort. Belonging here means being trusted to build the systems that others depend on—and being empowered to challenge assumptions when the current approach isn’t working.
You’ll Grow Through

Direct exposure to company-level GTM strategy and pipeline architecture decisions.
The opportunity to build outbound and enrichment infrastructure from first principles using AI-native tools.
Leading initiatives that materially impact pipeline generation, lead quality, and conversion rates.
This role supports your growth as both a technical builder and a strategic GTM operator, with a clear career path into Head of Growth, RevOps, or GTM leadership.
What Success Looks Like
Build & Maintain Automated Outbound Systems

Build and maintain automated outbound prospecting systems using Clay, Apollo, Instantly, and custom scripts.
Develop AI-powered workflows for personalized outreach at scale.
Own technical aspects of new channel launches (partnerships, paid, events).
Enrich, Score & Qualify Leads

Enrich and score leads using APIs, web scraping, and third-party data providers.
Integrate and optimize our CRM (HubSpot) with marketing automation and data sources.
Analyze funnel performance and identify bottlenecks across the GTM motion.
Internal Tools & Cross-Functional Collaboration

Create internal tools and dashboards to increase sales team productivity.
Collaborate with Sales, Marketing, and Product to ship experiments fast.
Own the data integrity and operational health of our lead-to-revenue pipeline.
What You Will Bring

2+ years of experience in GTM engineering, revenue ops, growth engineering, or a similar technical GTM role.
Proficient in Python, SQL, and API integrations.
Hands-on experience with Clay, Apollo, Outreach, or similar sales automation tools.
Strong understanding of B2B SaaS sales funnels and lead lifecycle.
Comfortable with ambiguity; can build v1 of something from scratch.
Metrics-obsessed and comfortable running A/B tests on outreach campaigns.
Bias toward simplification, clarity, and leverage.
How Work Affects My Life
This role is designed for someone who wants to build durable impact, not short-term fixes. You’ll be compensated fairly, trusted with autonomy, and supported as a builder whose work shapes how the company generates pipeline. Beyond outcomes, this role influences how you view work itself—reinforcing that well-designed systems create space for people to do their best work. Slang AI reflects your worth by investing in your judgment, trusting your leadership, and giving you the mandate to build infrastructure that lasts.
Bonus Points

Experience with restaurant tech, hospitality, or SMB sales motions.
Familiarity with AI/LLM-based personalization (GPT, Claude).
Prior startup experience (sub-50 person company).
Background in data engineering or analytics.
Compensation & Location
Compensation for this role is location-based and benchmarked against local market data aligned to the employee’s primary work location. Total compensation includes a mix of cash and equity and may vary by location, role level, and experience. Our range is therefore wide and not meant as a negotiation range.
Our Vision
Calling a business shouldn’t feel like a robot-hostage situation, where you’re forced to listen to horrible music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite get that" on repeat for eternity. (shudder) That’s why we started Slang AI We use the latest AI and audio wizardry to make transacting via voice so enjoyable it’s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it's faster and easier than text).
We have backgrounds building product at companies like Spotify, Buzzfeed, the New York Times, and OpenTable —shipping experiences that have reached hundreds of millions of users. Now, we’re using our backgrounds to start a new culture, one that puts product and human-centered design above all else while fostering constant learning and growth. Sound like something you’d like to be part of? Get on board.
Our Values
Overachiever Fever. We’re overachievers (we don’t know any other way)
Learner Fervor. We take every opportunity to learn (especially when it’s hard)
Humility Ability. We approach each other with curiosity and openness (know-it-alls not welcome!)
SMB MVP. We’re an expert member of our customers’ teams (we earn their trust)