Presales Lead

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

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,
  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).