Business Development & AI Enablement Specialist

IgniteTech; Indonesia; On-site; IDR 300,000,000 - 600,000,000; Full time

Job summary

IgniteTech in Indonesia seeks a senior AI-enabled Sales Lead who can design and deploy GenAI-powered tools to boost deal conversion and revenue growth across geographies. You will own predictive models that guide leadership decisions and help sales teams close seven-figure deals efficiently.

You will mentor a team, align AI initiatives with business goals, and communicate ROI to CROs and other stakeholders.

Qualifications

• 3+ years in B2B enterprise software sales with complex deals.
• Hands-on experience with Generative AI and LLMs in a commercial setting.
• Demonstrated ability to build or deploy ML models within a sales workflow.
• Strong grounding in sales strategy: pipeline management and customer journey design.

Responsibilities

• Architect real-time selling intelligence — deploy GenAI systems that push deal scores and triggers to reps during live interactions.
• Develop self-correcting forecast models with ML engines predicting pipeline outcomes and market disruptions.
• Chart the AI-in-sales strategy with a multi-year roadmap across geographies and segments.
• Grow AI talent by mentoring L2 specialists and guiding architecture reviews.
• Translate AI outcomes into strategic proposals and ROI analyses for senior leaders.
• Deliver market intelligence with AI-generated analyses and scenario plans to aid leadership decisions.

Skills

B2B enterprise software sales

Generative AI & LLMs in commercial use

ML model deployment in sales/workflow

Sales strategy & pipeline management

Communication across audiences

Mentorship or technical leadership

Tools

Kafka

Spark Streaming

Gong

Outreach

Salesloft

Job description

Where Machine Learning Meets the Deal Table — And You Run Both

Most AI roles keep you distant from the customer. Most sales roles keep you distant from the tech. This one refuses to choose. We need someone who can build an ML forecasting model before lunch and use the insights it produces to reshape how an enterprise sales team closes seven-figure deals after lunch.

You'll sit at the center of a global B2B sales organization with a clear charter: make AI the operating system for how we sell. That means designing GenAI-powered tools reps actually use mid-conversation, owning predictive models that keep leadership steps ahead of the market, and steering the strategic direction of AI across every sales channel we operate in.

No one will hand you a backlog of tickets. You'll set the agenda, ship the solutions, and answer for the results — in revenue terms.

Your Day-to-Day Impact

• Architect real-time selling intelligence — build and deploy GenAI systems that push deal scores, competitive talking points, and upsell triggers to reps during live customer interactions, driving a targeted ≥20% increase in conversion rates.
• Develop self-correcting forecast models — create ML-driven engines that predict pipeline outcomes, market disruptions, and competitive threats at ≥95% accuracy, automatically recalibrating within 48 hours when conditions change.
• Chart the AI-in-sales strategy — design the multi-year roadmap that determines how AI transforms prospecting, negotiation, and post-sale expansion across geographies and segments.
• Grow the next generation of AI talent — mentor L2 specialists through architecture reviews, paired problem-solving, and structured skill development so the team scales alongside the ambition.
• Translate models into momentum — present AI outcomes, strategic proposals, and ROI analyses to senior leaders and cross-functional partners in language that sparks action, not glazed eyes.
• Deliver market intelligence that moves the needle — produce AI-generated competitive analyses and scenario plans that give leadership a decision-making edge.

Explicitly Not Part of This Role

• Manual CRM upkeep or spreadsheet reporting — you build the automation that replaces these.
• Waiting for an innovation board to greenlight your ideas — you own tool design, model architecture, and go-live timelines.
• Research disconnected from commercial impact — every model ships with a revenue or accuracy target attached.
• Maintaining legacy platforms on life-support — the mandate is reinvention, not preservation.

What You Bring

Required

• 3+ years in B2B enterprise software sales, consistently managing and closing complex, multi-stakeholder deals.
• Hands-on, production-level experience with Generative AI and LLMs (ChatGPT, Claude, Gemini, Copilot, or equivalent) applied in a commercial setting — prototypes that reached real users, not just sandbox experiments.
• Demonstrated ability to build or deploy ML models — forecasting, lead scoring, classification, or similar — within a sales or go-to-market workflow.
• Solid grounding in sales strategy: pipeline management, customer journey design, competitive positioning, with tangible examples of AI improving each.
• Excellent communication skills across audiences — comfortable explaining gradient boosting to a data engineer and explaining ROI to a CRO in the same afternoon.
• Mentorship or technical leadership experience guiding team members through AI/ML project delivery.

Differentiators

• Experience with real-time data infrastructure — Kafka, Spark Streaming, or comparable streaming platforms.
• Familiarity with sales engagement tools (Gong, Outreach, Salesloft) and their integration ecosystems.
• Competitive intelligence or market research work enhanced by AI techniques.
• Prior ownership of an AI strategy at the department or business-unit level.
• Thought leadership at the AI-and-revenue intersection — published pieces, conference presentations, or community contributions.

What You'll Develop Here

• End-to-end deployment fluency — take AI tools from whiteboard sketch to daily use by a global salesforce, learning what it takes to ship and sustain at scale.
• Strategic leadership acumen — build the muscle to design, defend, and iterate a multi-year AI roadmap measured against P&L outcomes.
• Cross-functional influence — sharpen your ability to align sales, product, and engineering around AI-driven initiatives by quantifying value in business language.
• Cutting-edge technical depth — stay immersed in the latest LLM advances, agentic AI patterns, and prompt-engineering methods as the field accelerates.
• Predictive market intelligence expertise — deepen your craft in scenario planning, competitive modeling, and forward-looking analysis powered by AI.