AI Solutions Consultant – B2B Sales & Revenue Growth

IgniteTech; Pakistan; On-site; PKR 3,000,000 - 6,000,000; Full time

Job summary

IgniteTech is seeking a senior AI in Revenue role to accelerate enterprise sales with GenAI-powered tools and forecast models. You will define AI strategy, build scalable ML pipelines, and mentor a growing team of AI specialists, ensuring AI initiatives tie to revenue outcomes.

This role requires 3+ years in B2B software sales, hands-on deployment of GenAI/LLMs, and strong communication with C-suite and field teams.

Qualifications

• 3+ years selling complex B2B enterprise software with multi-stakeholder deals.
• Applied mastery of GenAI/LLMs in commercial go-to-market environments, including deployment.
• Track record building or operationalizing ML models for forecasting, scoring, or segmentation.

Responsibilities

• Create GenAI-driven, in-the-moment selling tools that improve conversion and deal velocity.
• Engineer ML forecasting pipelines to flag threats and opportunities with high accuracy and rapid recalibration.
• Set AI direction for sales, defining multi-channel, multi-market strategy aligned to revenue goals.
• Mentor L2 AI specialists through code reviews, architecture discussions, and coaching.
• Distill model ROI and trade-offs into business-focused narratives for executives.

Skills

GenAI deployment

Enterprise software sales

ML forecasting

Sales strategy

Executive storytelling

Mentoring AI teams

Tools

Kafka

Spark Streaming

Gong

Outreach

Salesloft

Job description

Your AI Expertise, Applied Where It Matters Most — the Revenue Line

What happens when you put a seasoned AI practitioner inside a high-performing enterprise sales organization and hand them the keys? You get faster deals, sharper forecasts, and a sales motion competitors can't replicate. That's exactly the mandate behind this role.

The Work

• Create intelligent, in-the-moment selling tools — GenAI-driven systems that deliver deal scores, buyer-intent cues, and upsell recommendations to reps while they're on the call, targeting a ≥20% uplift in conversion rates.
• Engineer predictive forecasting models — ML pipelines that flag competitive threats and emerging opportunities at ≥95% accuracy, with automated recalibration within 48 hours of market movement.
• Set the AI direction for sales — you don't execute someone else's innovation wishlist. You define the multi-channel, multi-market AI strategy and align it with company-wide revenue goals.
• Raise the technical bar — mentor L2 AI specialists through hands-on code reviews, architecture discussions, and project delivery coaching.
• Make AI legible to the business — distill model logic, ROI projections, and strategic trade-offs into language that energizes executives and frontline sellers to adopt what you build.

What's Off Your Plate

• CRM housekeeping or static reporting — you're engineering the systems that retire those tasks.
• Lobbying an innovation committee for airtime — you hold decision-making authority over architecture, tooling, and timelines.
• Pure academic research — every sprint connects to a revenue or accuracy metric.
• Propping up end-of-life platforms — the mission is transformation, not life-support.

Who You Are

Essential

• 3+ years selling complex B2B enterprise software, with demonstrable success navigating multi-stakeholder deal cycles to close.
• Applied mastery of GenAI and LLMs (ChatGPT, Claude, Gemini, Copilot, or comparable) in a commercial or go-to-market environment — not just experimentation, but deployment.
• Track record building or operationalizing ML models for forecasting, scoring, or segmentation tied to sales outcomes.
• Fluency in sales strategy fundamentals — pipeline mechanics, customer journey mapping, competitive positioning — with proof that AI made each one better.
• Exceptional communication range — equally effective whiteboarding with data engineers and presenting ROI narratives to the C-suite.
• Experience developing junior or peer-level talent on AI/ML initiatives.

Bonus Points

• Hands-on with real-time data infrastructure — Kafka, Spark Streaming, or similar streaming analytics stacks.
• Working knowledge of sales-tech ecosystems and APIs (Gong, Outreach, Salesloft).
• Competitive intelligence or market research background augmented by AI tooling.
• Prior ownership of an AI roadmap at the department or business-unit level.
• Public thought leadership — talks, articles, or open-source contributions at the AI-meets-revenue intersection.

What You'll Walk Away With

• Scaled deployment expertise — shipping AI products used daily by a global salesforce, from proof-of-concept through production hardening.
• Strategic storytelling skills — the ability to construct, defend, and iterate a multi-year AI roadmap anchored to P&L impact.
• Cross-functional credibility — practice influencing product, engineering, and sales leadership by framing AI value in business terms.
• Continuous technical growth — immersion in the latest LLM advances, agentic AI patterns, and prompt-engineering techniques as the field evolves.
• Predictive analytics depth — refined skills in market modeling, scenario analysis, and competitive forecasting powered by AI.

If you're ready to stop theorizing about AI's sales potential and start proving it at enterprise scale, we'd like to hear from you.