Movojobs
Back to results

Added

Closed listing

DATAEKO.AI

AI ENGINEER

  • Huron Shores, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Find open jobsMore jobs with this employer
About employer

Job details

Job type
Contract
Closing date
Posting language
English
Posted

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

Full-time

Enterprise Products & Services Sales

6–15 years

3 Positions

Partner Ecosystem Sales Manager - Enterprise Infrastructure

Hyderabad

  • Mumbai
  • Bengaluru Full-time

Reporting to: Leadership teamCompensation: ₹15–30L+ CTC (70:30 fixed-to-variable)

A quota-carrying individual-contributor role anchored in Dataeko's OEM partner ecosystem. Own pipeline generation and closure across JFrog, IBM, and ClickHouse - combining net-new hunting through partner channels with the technical-to-commercial orchestration that moves CTO and CIO buyers from first conversation to signed SOW.

Apply via people@dataeko.ai

Share link

https://dataeko.ai/careers#partner-ecosystem-sales-manager

Scope of Coverage

Key Tracks, Bands, And Coverage Details For This Role

Mid-Level IC

6–9 years of experience

  • ₹15–20L CTC
  • 70:30 fixed-to-variable split

Senior IC

10–15 years of experience

  • ₹20–30L CTC
  • 70:30 fixed-to-variable split; may extend beyond ₹30L for direct incumbent JFrog, IBM, or ClickHouse-calibre experience

Three Regional Openings

Candidates may be based in Hyderabad, Mumbai, or Bengaluru. Quota size, deal complexity, targets, and customer segments will vary by experience and band.

Responsibilities

  • Carry a quota against partner-sourced and partner-influenced pipeline across JFrog (DevOps/DevSecOps), IBM (observability and AIOps), and ClickHouse (real-time analytics)
  • Build and defend value-based ROI, TCO, and payback business cases that translate platform differentiation into board-level outcomes
  • Navigate multi-stakeholder buying committees spanning CTO/CIO economic buyers, technical champions, operational influencers, and CISO/compliance gatekeepers
  • Translate middleware observability gaps, technology complexity debt, modernisation-without-disruption, and vendor implementation gaps into buyer-specific value narratives
  • Build relationships with OEM and channel-partner sales counterparts to drive co-sell motions
  • Position product licensing together with Dataeko's implementation, tuning, consulting, and ongoing-support services
  • Run full-cycle hunter-mode prospecting using CRM, Sales Navigator, HubSpot, Apollo, and similar tooling
  • Feed real win/loss signals back into Dataeko's ICP and battlecard refresh cycle

Required

  • Mid-level band: 6–9 years of relevant experience; senior band: 10–15 years
  • Enterprise IT infrastructure sales, pre-sales, services sales, or partner-channel experience
  • Experience handling quotas and selling products or solutions collaboratively with OEMs in a partner, reseller, or VAR environment
  • A record of exceeding quota in complex, multi-stakeholder enterprise or B2B SaaS/infrastructure sales cycles
  • Ability to combine pre-sales/value engineering with quota-carrying hunting, services, or channel sales
  • Confidence engaging CTO, CIO, and CISO stakeholders and translating technical differentiation into business outcomes
  • Fluency with CRM and Sales Navigator; familiarity with prospecting platforms such as Gong, ZoomInfo, or Salesloft is valuable
  • Experience selling into BFSI, Fintech, Manufacturing, or Logistics/Supply Chain, ideally within $100M–$2B revenue accounts
  • Bachelor's degree in business administration, marketing, or a technical discipline; MBA is an advantage

Good to have

  • JFrog or adjacent DevOps/DevSecOps and software supply-chain platforms such as Sonatype, GitLab, GitHub Advanced Security, or Snyk
  • IBM or adjacent observability/AIOps and hybrid-cloud platforms such as Datadog, Dynatrace, New Relic, ServiceNow ITOM, Red Hat OpenShift, or WebSphere/MQ
  • ClickHouse or adjacent real-time analytics and data platforms such as Snowflake, Databricks, BigQuery, Druid, Kafka, Postgres, or dbt
  • Infrastructure-services sales experience across managed services, implementation, AMS, or professional services
  • Support-led experience in renewals or technical account management, or services-led experience involving delivery or project P&L

What you’ll gain

  • Ownership of a build-and-run enterprise sales mandate across Dataeko's three most active OEM lines
  • Direct access to leadership and partner-side sales teams
  • Opportunity to sell combined product licensing and consulting-services outcomes
  • A compensation band calibrated to relevant experience and demonstrated expertise
About employer
More about this job

Responsibilities

Drive pipeline generation and closure within the OEM partner ecosystem, specifically focusing on JFrog, IBM, and ClickHouse. Manage the full sales cycle from prospecting to signed SOW, translating technical capabilities into business outcomes for CTO and CIO buyers.

Requirements

Requires 6-15 years of experience in enterprise IT infrastructure or partner-channel sales with a proven track record of exceeding quotas. A bachelor's degree is required, with an MBA preferred and experience selling into BFSI, Fintech, or Manufacturing sectors.

Skills

  • Partner Ecosystem Management
  • Pipeline Generation
  • Value Engineering
  • B2B SaaS Sales
  • CRM Proficiency
  • Sales Navigator
  • Stakeholder Management
  • ROI Analysis
  • TCO Modeling
  • Channel Sales
  • Pre-sales
  • Strategic Prospecting
  • Account Management
  • Technical-to-Commercial Orchestration
  • Co-sell Motions

Visa sponsorship

Not detected in the job text

Categories

  • Sales
  • Technology
  • Consulting
  • Software
  • Data & Analytics

Keywords

  • JFrog
  • IBM
  • ClickHouse
  • DevOps
  • DevSecOps
  • AIOps
  • Observability
  • Real-time Analytics
  • HubSpot
  • Apollo
  • Gong
  • ZoomInfo
  • Salesloft
  • BFSI
  • Fintech
  • SaaS
  • VAR
  • OEM
  • Snowflake
  • Databricks
  • BigQuery
  • Kafka
  • Postgres
  • dbt
  • Datadog
  • Dynatrace
  • New Relic
  • ServiceNow ITOM
  • Red Hat OpenShift
  • WebSphere

Report this job