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Hevo Data

No-code data pipeline and ELT platform

Head of Premier Technical Support

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • 12–18 years of overall experience, including 5+ years leading Technical Account Management, Premier or Enterprise Support, Customer Success Engineering, or Support Engineering teams in B2B SaaS.
  • A track record of owning enterprise customer relationships, personally handling critical escalations, and turning at-risk accounts into advocates.
  • Clear and effective written and verbal communication with customer engineers and C-level executives.
  • Experience building and running a team with an operating rhythm of KPIs, SLAs, and reviews; understanding how input metrics drive outcomes; and hiring effectively and making difficult people decisions.
  • Hands-on depth in B2B cloud technologies, including SaaS platforms, APIs and integrations, and cloud infrastructure such as AWS, GCP, or Azure; ideally with exposure to data systems such as databases, warehouses, and ETL/ELT.
  • Ability to read logs, debug a failing API call or pipeline, and work credibly with customer engineers.
  • Evidence of building or rebuilding a function, ideally in a startup or high-growth environment, and owning results end to end.
  • Understanding of how adoption and customer experience drive renewal and expansion, and experience partnering with Account Management or Sales on retention outcomes.

Responsibilities

  • Own the technical relationship with premier accounts end to end, including onboarding, adoption, stability, escalations, and renewal readiness.
  • Deliver a white-glove experience for top customers through named coverage, proactive check-ins, regular business reviews, and a single accountable point of contact when issues arise.
  • Partner with Account Managers on joint account plans, QBRs, renewal risk reviews, and expansion opportunities, leading with adoption and retention.
  • Drive adoption by ensuring customers get value from the pipelines, sources, and features they purchased, and identify usage declines before they become churn risks.
  • Personally lead high-severity and executive-level escalations, and provide clear, timely incident communication and customer-facing root cause analyses.
  • Build customer advocacy through NPS/CSAT programs, references, and case studies.
  • Hire, coach, and develop a high-performing team of Technical Account Managers and Premier Support Engineers, including future team leads.
  • Design and run the operating model, including account segmentation, coverage ratios, SLAs, severity levels, and the escalation framework.
  • Build playbooks for onboarding, proactive health monitoring, health scoring, escalation management, renewal readiness, and expansion.
  • Define and track input and output metrics, and use them to run the team week to week, including response and resolution times, backlog, ticket aging, escalation rate, proactive touchpoints, business review coverage, pipeline health coverage, CSAT, NPS, time-to-value, adoption, health scores, NRR, and GRR.
  • Run a disciplined weekly cadence on at-risk accounts, open escalations, and team capacity, with clear owners and follow-through.
  • Report key metrics and insights to the executive team.
  • Work hands-on with pipeline failures, API and integration issues, data latency, schema changes, and source or destination problems alongside engineers.
  • Diagnose issues across the B2B cloud stack, including REST APIs, authentication using OAuth or API keys, rate limits, webhooks, networking, and cloud data warehouses.
  • Represent premier customers to Product and Engineering by turning support and adoption trends into roadmap and reliability priorities.
  • Raise the team's technical bar through enablement, runbooks, and knowledge sharing so new hires become productive quickly.
  • Use AI, automation, and self-service tooling to improve resolution speed and scale the team's impact without growing headcount at the same rate.
  • Build the premier support function by identifying gaps, making decisions, and delivering improvements without waiting for a finished blueprint.
  • Take on key accounts, tickets, or initial dashboard development when needed.
  • Make decisions with incomplete information, own the outcomes, and adjust quickly.
  • Drive change across Account Management, Sales, Product, Engineering, and Finance through data and influence.
  • Own the premier customer base's gross retention, net revenue retention, and adoption outcomes.

Desired Qualifications

  • Experience at a modern data stack, integration, or cloud infrastructure company such as Fivetran, dbt, Snowflake, Databricks, Airbyte, or Confluent.
  • Direct ownership of retention and expansion metrics such as NRR and GRR in a subscription or recurring-revenue business.
  • Familiarity with usage-based or consumption-based pricing and using usage data to drive adoption.
  • A mix of technical experience, such as engineering, SRE, or solutions, and business experience, such as support, customer success, or account management.
  • Experience managing teams across multiple geographies or time zones, especially supporting US customers from India.
  • Experience introducing AI or automation into support or customer success operations.

About the Company

Hevo Data

No-code data pipeline and ELT platform

Hevo Data provides a cloud-based, no-code data pipeline platform that automates Extract, Load, and Transform tasks to move data from many sources into data warehouses. It connects to over 150 sources (SaaS apps, databases, cloud storage) and supports automatic schema management and real-time data replication. It differentiates itself with a user-friendly, no-code interface, automated handling of schema changes, and a Reverse ETL capability to push warehouse data back into operational tools, plus flexible tiered subscriptions and AWS Marketplace access. Its goal is to simplify data integration so organizations—ranging from small teams to large enterprises—can access up-to-date, consolidated data to make data-driven decisions.

Company size
201-500
Company stage
Series B
Total funding
$43M
Headquarters
San Francisco, CA
Founded
2016

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