ABOUT BLUE MACHINES
Blue Machines is building an enterprise-grade conversational AI platform across Voice, Chat, SMS, and WhatsApp — powering customer support, sales, marketing, and operations workflows. Most conversational AI is easy to demo; enterprise AI is hard to run. We build P99: sub-300ms latency, a Council-of-LLMs architecture, multilingual support, a proprietary workflow engine for multi-agent orchestration, and go-live in weeks.
Built by Apna — India's fastest-growing unicorn — we've raised $180M from Tiger Global, Peak XV, Lightspeed Ventures, Owl Ventures, Insight Partners, Greenoaks, GSV Ventures, and Maverick Ventures. We already power millions of conversations in production for enterprises like Adecco, Jio, Randstad, Flipkart, Aditya Birla Capital, and Muthoot Finance. Now we're building our North America GTM team from the ground up — and this is one of the first sales seats on the field.
What you'll do
- Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling.Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.
- Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations.
- Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders.
- Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations.
- Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.
- Collaborate cross functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product.
Requirements
What you'll bring
- Experienced enterprise seller: 5+ years in strategic or enterprise SaaS sales with a strong record of closing and expanding 6 or 7-figure deals.
- Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals.
- Work authorization: Eligible to work in the United States.
Even better...
- Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends.
- Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth.
- Conversational AI experience: Experience selling conversational AI products.
- Complex deal navigation: Experience navigating complex enterprise deals with legal, finance, procurement, or executive buyers for a challenger company.
Skills Required
- 5+ years of strategic or enterprise SaaS sales experience
- Strong record of closing and expanding six- or seven-figure deals
- Experience managing a $1M+ quota
- Experience running end-to-end complex enterprise deals
- Eligible to work in the United States
- Familiarity with the AI landscape, key players, and emerging trends
- Experience building go-to-market strategies, sales teams, or sales motions from scratch or during early-stage growth
- Experience selling conversational AI products
- Experience navigating complex enterprise deals involving legal, finance, procurement, or executive buyers
What We Do
Blue Machines AI is an enterprise agentic customer-experience platform that deploys multilingual voice AI agents to automate customer conversations and service or sales workflows. Its platform orchestrates speech-to-text, text-to-speech and language models to support reliable, low-latency interactions at scale. It extends customer engagement across voice, chat, WhatsApp, web and email, adapting journeys toward defined outcomes. The company focuses on making AI production-ready for high-stakes enterprise use.
