Job Description - Pre Sales Lead
Why this role
Codvo partners with global clients to build modern data, AI/GenAI, and product engineering solutions. We’re scaling our named solutions and partner-led motions with hyperscalers and leading data platforms. You’ll be the presales quarterback - shaping value propositions, orchestrating RFP wins, and packaging Codvo’s expertise into repeatable, revenue-driving solutions.
What you’ll do
- Own pursuits end-to-end: Lead opportunity qualification, discovery, solution shaping, storytelling, and commercial strategy from first touch through SOW signature.
- Craft winning narratives: Build C-suite pitch decks and high-quality proposals/SOWs tailored to business outcomes, TCO/ROI, delivery approach, risks, and commercials.
- RFP/RFI leadership: Manage comprehensive responses—solution architecture, delivery model, estimates, assumptions, dependencies—collaborating directly with SMEs, Tech Owners, and Delivery Leads.
- Ideate & differentiate: Conduct market/company research to articulate sharp value propositions and “why Codvo” competitive angles.
- Named Solutions: Productize Codvo’s past wins into Named Solutions (e.g., GenAI accelerators, data modernization blueprints, domain-specific playbooks). Create reusable artifacts, demo scripts, reference architectures, and case kits.
- Sales enablement: Build marketing and sales kits—one-pagers, solution briefs, POVs, customer stories, and demo environments to shorten sales cycles.
- Partner co-sell motion: Work with the Partnerships team to register and progress opportunities on AWS/Azure/GCP and leading data platform partner portals; co-create solutions/POVs with partner engagement teams and align to funding programs.
- Estimation & commercials: Drive scoping, effort estimates, pricing models (T&M, fixed-price, capacity), and risk/mitigation with Delivery/Finance.
- Thought leadership: Contribute to blogs, webinars, conference talks, and POVs on AI/GenAI, MLOps, LLM apps, Data Engineering, and Analytics.
- Governance: Maintain pursuit hygiene—track progress, risks, and actions in CRM and presales trackers; uphold IP, security, and compliance standards.
What you bring
- 10–12 years total experience, 8-10+ years in presales/solutioning at a Systems Integrator or Product Engineering firm.
- Strong technology exposure: AI/ML & GenAI (LLM apps, RAG, prompt engineering, safety/guardrails), Data Engineering (ingestion, lakehouse/warehousing, ELT/ETL, orchestration, streaming), and Cloud fundamentals.
- Domain depth in at least one: Retail/CPG, Travel & Transportation, MedTech, with clear stories of outcomes delivered (e.g., personalization, demand forecasting, network optimization, quality/compliance, clinical/real-world data).
- Pursuit excellence: Proven record leading Tier-1 RFPs/RFIs to win—narrative, solution design, pricing, and executive presentation.
- Partnership experience: Hands-on with hyperscaler/data-platform partner motions (opportunity registration, MDF/funding plays, co-sell, marketplace listings).
- Communication: Executive storytelling, crisp writing, and the ability to simplify complex tech into business value.
- Education: MBA (Tier-1/2) with strong academics; technical undergrad preferred.
- Mindset: High ownership, bias to learn/ship fast, collaborative leadership, and comfort in ambiguity.
Nice-to-haves
- Certifications: Any of AWS/Azure/GCP associate/ professional; Databricks/Snowflake; GenAI/LLM badges.
- Familiarity with security, governance, and compliance in regulated domains.
- Tools: PowerPoint/Google Slides, Excel/Sheets, HubSpot, Confluence/Jira, Miro/Figma, Lucid.
KPIs you’ll own
- Win rate & qualified pipeline influenced
- RFP/RFI scores and time-to-proposal
- Named Solutions created & sales enablement assets adopted
- Partner-sourced/influenced revenue and funded PoCs secured
- Customer references/CSAT at handover to delivery
What success looks like (first 3 months)
- Launch 6 Named Solutions (domain-anchored) with demos and Sales/ Marketing kits.
- Cut proposal cycle time by 20–30%.
- Land 2–3 co-sell wins with hyperscalers or data-platform partners.
- Build a clean pursuit hygiene rhythm (deal reviews, risk logs, pricing playbook).