Director – Pre-Sales & AI Data Solutioning

Shaip; Ahmedabad District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Shaip by Ubiquity is seeking a hands-on Director to lead its Pre-Sales and VMS Pre-Sales teams in India. You will translate enterprise customer requirements into executable AI data solutions, orchestrating feasibility, delivery designs, vendor inputs, cost models, and proposals.

You will partner with Sales and with Delivery, ensuring timely bids, strong governance, and scalable solutioning across AI data, healthcare, GenAI evaluation, and related domains.

Qualifications

• 8+ years in AI data, data operations, or related services.
• Experience shaping enterprise proposals and cost models.
• Strong business judgment on pricing and margins.
• Familiarity with privacy and security considerations.

Responsibilities

• Lead Pre-Sales and VMS Pre-Sales teams and coach managers.
• Own bottom-up costing, pricing scenarios and margins.
• Lead technical/commercial inputs to RFPs and SOWs.
• Deliver signed-off solution packs and track bid performance.

Skills

Leadership

Proposal writing

Client interaction

English communication

Job description

Shaip by Ubiquity is seeking a hands-on Director to lead its Pre-Sales and VMS Pre-Sales teams. The Director translates enterprise customer requirements into executable AI data solutions, orchestrating feasibility, delivery designs, vendor inputs, cost models, proposals and timelines. The position partners closely with Sales and with the other operational deputies responsible for VMS & L&D, core delivery and Physical AI delivery.

Key accountabilities

Leadership and operating cadence

• Lead the Pre-Sales and VMS Pre-Sales teams; coach managers and specialists, allocate work and own capability development.
• Establish one intake process, bid prioritization, turnaround SLAs, templates, approvals, handoff standards and a proposal performance dashboard.

Customer discovery and solution design

• Lead discovery with enterprise customers and Sales; convert use cases into detailed statements of requirements, acceptance criteria and dependencies.
• Design collection, annotation, speech/audio, healthcare, GenAI evaluation/RLHF, computer-vision and physical-AI data workflows as applicable; coordinate product, engineering and security inputs.

Feasibility and operating model

• Work with VMS & L&D and Delivery to validate vendor/contributor availability, training, geographies, tooling, capacity, productivity, quality and delivery schedules.
• Evaluate competing delivery models, pilots, security/data residency constraints, risks, contingencies and explicit assumptions; do not make unvalidated commitments.

Costing and commercial proposal

• Own comprehensive bottom-up cost models covering supplier rates, labor productivity, onboarding/training, QA, rework, tooling, management overhead and delivery risk.
• Own pricing recommendations, scenario/sensitivity analysis and proposed gross margins; obtain leadership approval for final external pricing and exceptions.
• Lead technical/commercial inputs to RFPs, RFQs, pilots, proposals and SOWs, including pricing units, scope, milestones, acceptance, exclusions and change control.

Handoff and improvement

• Deliver signed-off solution packs to Delivery and VMS; document bid assumptions and named operational owners.
• Track quoted versus realized unit cost/margin and win/loss insights to improve future solutioning and estimation.

Candidate profile

• 8+ years of relevant experience; strong evidence of leading AI data, data operations, or related services solutioning is more important than years alone.
• Demonstrated personal ownership of large or complex customer proposals, cost models, vendor feasibility, delivery designs and team leadership.
• Working fluency in at least two major AI data domains, with ability to learn others rapidly; familiarity with global crowd/vendor models and quality assurance.
• Strong commercial judgment: pricing units, gross margin, change control, rework, rate/throughput sensitivity and deal-risk tradeoffs.
• Excellent English communication and experience engaging international enterprise customers; comfortable collaborating across US/India time zones.
• Practical understanding of privacy/security requirements and when to engage InfoSec/Legal; no requirement to independently hold cloud/security certifications.

Measures of success

• On-time response to qualified bids and improved speed without sacrificing bid quality.
• Cost estimate accuracy and quoted-versus-actual gross-margin variance after handoff.
• Feasibility sign-off and low rate of post-signature surprises, scope disputes and avoidable rework.
• Technical/commercial proposal acceptance, win-rate contribution and reusable solution assets.
• Team performance, coaching and clear cross-functional stakeholder satisfaction.