Sales Director (Digital, Data & AI Services)
About the role
Sales Director (Digital, Data & AI Services)
Role Summary
The Sales Director is a senior growth leader responsible for building, shaping, and closing complex, multi-service engagements across Robosoft’s portfolio—spanning digital product strategy, experience design, platform/software engineering, enterprise applications, data & analytics, AI/GenAI-enabled solutions, and (where applicable) embedded engineering programs. [robosoftin.com], [robosoftin.com], [prnewswire.com]
This leader will operate as a solution seller and deal shaper, owning revenue and margin outcomes while partnering closely with delivery, solution architects, and executive stakeholders to create differentiated, measurable client value.
Core Responsibilities
-
Growth Strategy & Market Development Own a solution-led GTM plan for prioritized verticals and target accounts, translating market demand into repeatable plays across consulting, design, engineering, and data/AI services. Build and maintain an account-based growth plan (stakeholder mapping, whitespace analysis, multi-year expansion roadmap) for strategic accounts.
-
Consultative & Outcome-Based Selling Lead discovery-to-value motions with C-level stakeholders (CIO/CTO/CDO/CPO/CMO), framing proposals around measurable outcomes (growth, efficiency, risk reduction, customer experience, time-to-market). Shape, negotiate, and close complex deals—balancing competitiveness, delivery feasibility, and margin discipline.
-
Solution & Deal Shaping Across Robosoft Offerings Orchestrate cross-functional pursuit teams to craft integrated solutions across: Digital consulting & product strategy Experience design (CX/UI/UX) Software / platform engineering & modernization Enterprise applications Data & analytics with AI-powered insights AI solutions (including applied AI patterns integrated into digital systems) Core engineering & simulation and embedded engineering / model-based development (as relevant to target industries) Drive differentiated positioning for Robosoft as a partner that engineers intelligent digital systems that are resilient and built to evolve.
-
AI & Data-Led Selling (Required) Lead client conversations that connect data strategy + AI adoption to ROI, including where AI can enhance customer experience, operations, software delivery, and decision-making. Partner with analytics/AI leadership to package offerings that turn “raw data into actionable insights” and keep ROI central to proposals. Ensure proposals include practical, client-ready AI governance considerations (security, privacy, compliance, model risk) appropriate to enterprise environments.
-
Ecosystem & Partner-Led Growth Build partner motion plans (cloud, platform, and security ecosystems) that accelerate pipeline through co-selling, joint offerings, and shared events. Where relevant, integrate complementary partner capabilities (e.g., cybersecurity/process modeling partnerships referenced in company communications) into deal strategy to strengthen differentiation and credibility.
-
Forecasting, Pipeline Discipline & Sales Excellence Own forecast accuracy, pipeline hygiene, and consistent use of sales methodology. Build a high-quality pipeline through targeted outbound, executive relationships, partner channels, and strategic marketing coordination. Provide regular exec-ready updates (pipeline, risks, next best actions, close plans, competitive intel).
-
Delivery Alignment & Revenue Realization Align early and often with delivery and solution teams to ensure scope is executable and transition is clean. Maintain ongoing executive sponsorship to drive renewals, expansions, and reference ability.
Success Measures (First 6–12 Months)
Pipeline coverage (e.g., 3–4x), win rate, average deal size, and cycle time improvements. Growth in multi-service deals that combine design + engineering + data/AI. Increased penetration of strategic industries aligned to Robosoft strengths and expanded capabilities (including embedded engineering opportunities). Stronger forecast accuracy and repeatable pursuit cadence.
Required Experience & Qualifications
10+ years of enterprise B2B sales experience in IT services / digital transformation / product engineering with a proven track record of closing complex, multi-stakeholder deals. Demonstrated ability to sell across a portfolio that includes digital consulting, experience design, software engineering, enterprise applications, and data/analytics. Strong commercial acumen: contracting, negotiation, pricing, margin management, delivery risk management. Executive presence with ability to influence C-suite buyers and build long-term client relationships.
AI & Data Fluency — Minimum Expectations (Not Optional)
Candidates must demonstrate working fluency to sell and shape modern data/AI programs, including:
Data fundamentals: data platforms, data pipelines, governance, BI/insights, and practical pathways to ROI. Applied AI concepts: where AI improves product experience and operations; ability to translate AI opportunities into scoped initiatives. GenAI literacy: common enterprise patterns (e.g., knowledge assistants, search augmentation, customer support automation), and ability to discuss implementation considerations (risk, security, evaluation, adoption). Responsible AI mindset: understanding that enterprise clients need guardrails (privacy, security, compliance, governance) in AI deployments.
Preferred Qualifications
Experience selling into one or more Robosoft-aligned verticals (e.g., BFSI, media/entertainment, retail/e-commerce, manufacturing/automotive) and/or PE-backed portfolio environments. Familiarity with global delivery models and leading cross-geo pursuit teams. Exposure to engineering-led offerings such as embedded engineering and model-based development/testing (helpful for industrial vertical pursuits). Proven partner co-sell experience and alliance-driven pipeline creation.
Working Style & Leadership Behaviors
Builder mindset: creates pipeline systems and repeatable GTM motions, not just individual hero deals. Solution orientation: brings the right experts together to win. Data-driven operator: uses metrics, close plans, and account insights to manage outcomes. Client-trust leader: prioritizes delivery alignment and long-term value, not just bookings.
Not the right fit? Search for Sales Director jobs in Canada
About Robosoft Technologies
Engineering the Experience that matter.
A full-stack digital partner for what’s next, Robosoft builds people‑centric digital solutions powered by the global scale of TechnoPro and Blackstone.
With nearly three decades of experience, we combine human understanding with engineering excellence to help organizations grow, adapt, and thrive.
Robosoft helps enterprises design and engineer intelligent digital systems where experience, software, and AI converge.
From mobile, web, application, and software-defined platforms, we build human-centered technology that is intuitive to use, resilient by design, and ready to evolve.
At the heart of everything we do is a simple belief:
Technology should serve people and the outcomes they care about. We bring together human insight, product thinking, and deep engineering to create meaningful digital experiences and intelligent systems.
Our work is modern, resilient, and built for impact approached with humility, care, and respect for the responsibility our clients place in us.
Similar Jobs
Sales Director (Digital, Data & AI Services)
About the role
Sales Director (Digital, Data & AI Services)
Role Summary
The Sales Director is a senior growth leader responsible for building, shaping, and closing complex, multi-service engagements across Robosoft’s portfolio—spanning digital product strategy, experience design, platform/software engineering, enterprise applications, data & analytics, AI/GenAI-enabled solutions, and (where applicable) embedded engineering programs. [robosoftin.com], [robosoftin.com], [prnewswire.com]
This leader will operate as a solution seller and deal shaper, owning revenue and margin outcomes while partnering closely with delivery, solution architects, and executive stakeholders to create differentiated, measurable client value.
Core Responsibilities
-
Growth Strategy & Market Development Own a solution-led GTM plan for prioritized verticals and target accounts, translating market demand into repeatable plays across consulting, design, engineering, and data/AI services. Build and maintain an account-based growth plan (stakeholder mapping, whitespace analysis, multi-year expansion roadmap) for strategic accounts.
-
Consultative & Outcome-Based Selling Lead discovery-to-value motions with C-level stakeholders (CIO/CTO/CDO/CPO/CMO), framing proposals around measurable outcomes (growth, efficiency, risk reduction, customer experience, time-to-market). Shape, negotiate, and close complex deals—balancing competitiveness, delivery feasibility, and margin discipline.
-
Solution & Deal Shaping Across Robosoft Offerings Orchestrate cross-functional pursuit teams to craft integrated solutions across: Digital consulting & product strategy Experience design (CX/UI/UX) Software / platform engineering & modernization Enterprise applications Data & analytics with AI-powered insights AI solutions (including applied AI patterns integrated into digital systems) Core engineering & simulation and embedded engineering / model-based development (as relevant to target industries) Drive differentiated positioning for Robosoft as a partner that engineers intelligent digital systems that are resilient and built to evolve.
-
AI & Data-Led Selling (Required) Lead client conversations that connect data strategy + AI adoption to ROI, including where AI can enhance customer experience, operations, software delivery, and decision-making. Partner with analytics/AI leadership to package offerings that turn “raw data into actionable insights” and keep ROI central to proposals. Ensure proposals include practical, client-ready AI governance considerations (security, privacy, compliance, model risk) appropriate to enterprise environments.
-
Ecosystem & Partner-Led Growth Build partner motion plans (cloud, platform, and security ecosystems) that accelerate pipeline through co-selling, joint offerings, and shared events. Where relevant, integrate complementary partner capabilities (e.g., cybersecurity/process modeling partnerships referenced in company communications) into deal strategy to strengthen differentiation and credibility.
-
Forecasting, Pipeline Discipline & Sales Excellence Own forecast accuracy, pipeline hygiene, and consistent use of sales methodology. Build a high-quality pipeline through targeted outbound, executive relationships, partner channels, and strategic marketing coordination. Provide regular exec-ready updates (pipeline, risks, next best actions, close plans, competitive intel).
-
Delivery Alignment & Revenue Realization Align early and often with delivery and solution teams to ensure scope is executable and transition is clean. Maintain ongoing executive sponsorship to drive renewals, expansions, and reference ability.
Success Measures (First 6–12 Months)
Pipeline coverage (e.g., 3–4x), win rate, average deal size, and cycle time improvements. Growth in multi-service deals that combine design + engineering + data/AI. Increased penetration of strategic industries aligned to Robosoft strengths and expanded capabilities (including embedded engineering opportunities). Stronger forecast accuracy and repeatable pursuit cadence.
Required Experience & Qualifications
10+ years of enterprise B2B sales experience in IT services / digital transformation / product engineering with a proven track record of closing complex, multi-stakeholder deals. Demonstrated ability to sell across a portfolio that includes digital consulting, experience design, software engineering, enterprise applications, and data/analytics. Strong commercial acumen: contracting, negotiation, pricing, margin management, delivery risk management. Executive presence with ability to influence C-suite buyers and build long-term client relationships.
AI & Data Fluency — Minimum Expectations (Not Optional)
Candidates must demonstrate working fluency to sell and shape modern data/AI programs, including:
Data fundamentals: data platforms, data pipelines, governance, BI/insights, and practical pathways to ROI. Applied AI concepts: where AI improves product experience and operations; ability to translate AI opportunities into scoped initiatives. GenAI literacy: common enterprise patterns (e.g., knowledge assistants, search augmentation, customer support automation), and ability to discuss implementation considerations (risk, security, evaluation, adoption). Responsible AI mindset: understanding that enterprise clients need guardrails (privacy, security, compliance, governance) in AI deployments.
Preferred Qualifications
Experience selling into one or more Robosoft-aligned verticals (e.g., BFSI, media/entertainment, retail/e-commerce, manufacturing/automotive) and/or PE-backed portfolio environments. Familiarity with global delivery models and leading cross-geo pursuit teams. Exposure to engineering-led offerings such as embedded engineering and model-based development/testing (helpful for industrial vertical pursuits). Proven partner co-sell experience and alliance-driven pipeline creation.
Working Style & Leadership Behaviors
Builder mindset: creates pipeline systems and repeatable GTM motions, not just individual hero deals. Solution orientation: brings the right experts together to win. Data-driven operator: uses metrics, close plans, and account insights to manage outcomes. Client-trust leader: prioritizes delivery alignment and long-term value, not just bookings.
Not the right fit? Search for Sales Director jobs in Canada
About Robosoft Technologies
Engineering the Experience that matter.
A full-stack digital partner for what’s next, Robosoft builds people‑centric digital solutions powered by the global scale of TechnoPro and Blackstone.
With nearly three decades of experience, we combine human understanding with engineering excellence to help organizations grow, adapt, and thrive.
Robosoft helps enterprises design and engineer intelligent digital systems where experience, software, and AI converge.
From mobile, web, application, and software-defined platforms, we build human-centered technology that is intuitive to use, resilient by design, and ready to evolve.
At the heart of everything we do is a simple belief:
Technology should serve people and the outcomes they care about. We bring together human insight, product thinking, and deep engineering to create meaningful digital experiences and intelligent systems.
Our work is modern, resilient, and built for impact approached with humility, care, and respect for the responsibility our clients place in us.