Technical Customer Success Manager

Attentive.ai

Uttar Pradesh

On-site

INR 900,000 - 1,200,000

Full time

14 days+

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Job summary

Attentive.ai is seeking a Customer Success professional to join Beam AI, a construction software platform, to support US/Canada customers. This role suits engineers, estimators, or project managers transitioning into client-facing work.

As the technical liaison, you will guide onboarding, drive product adoption, manage key accounts, and address churn risks while aiming for renewals. Strong communication and domain knowledge in CSA and MEP trades are essential.

Qualifications

  • Degree in Mechanical, Civil, Construction, or Electrical Engineering or equivalent experience.
  • 3+ years in estimating, project management, or client-facing roles.
  • Experience with US/Canada customers is preferred.

Responsibilities

  • Lead and optimize customer onboarding for efficiency and scale.
  • Drive product adoption and usage to deliver value and renewals.
  • Represent Beam AI on customer calls and relay technical requirements to the estimating team.
  • Track CS metrics and identify upsell opportunities.
  • Foster customer advocacy through case studies and referrals.

Skills

Communication skills
Interpersonal skills
Client-facing experience
Project management
Analytical problem-solving

Education

Bachelor's degree in Mechanical Civil Construction or Electrical Engineering

Job description

Attentive.ai is a fast-growing vertical SaaS start-up, funded by Insight Partners, PeakXV (Surge), Infoedge, Tenacity and Vertex Ventures, that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platform. We're looking for a dynamic individual to join our team and help us drive retention, sales and grow our customer base.

Job Description:

This Customer Success role at BEAM AI is ideal for engineers, estimators, or project managers from

mechanical, civil, electrical, or construction backgrounds who want to transition into a client-facing role.

Acting as the technical expert, you’ll bridge communication between customers and the estimating team while driving adoption and success. It’s a great opportunity to leverage your technical knowledge, enhance customer relationships, and be part of a dynamic team disrupting the construction software industry. Proficient at CSA (Civil-Structural-Architectural) trades & MEP trades. In-depth understanding of trades across the CSI master-format.

Responsibilities of the Role:

Lead and optimize customer onboarding to ensure efficiency and scalability.

Drive product adoption and usage, enabling customers to realize full value from Beam AI. Manage key accounts, strengthen relationships, and proactively address churn risks while driving renewals.

Represent Beam AI on customer calls, clarifying technical queries and communicating requirements to the estimating team.

Track and analyze customer success metrics (CSAT, NPS, renewals, churn) to improve outcomes. Identify and execute upsell opportunities, acting as a strategic advisor to accounts.

Foster customer advocacy through case studies, testimonials, and referrals.

Requirements for the Role:

Degree in Mechanical, Civil, Construction, or Electrical Engineering, or relevant experience in construction estimating.

3+ years of experience in estimating, project management, or client-facing roles particularly for US / Canada customers.

Strong communication and interpersonal skills with a proven ability to build relationships. Empathy, tact, and professionalism under pressure.

Passion for customer success and delivering value.

Strong analytical and problem-solving abilities.

Ability to meet deadlines and adapt in a fast-paced, fluid environment.

Willingness to work in a start-up setting and evening shift (aligned to US business hours). Confidence in representing the company on customer calls and explaining technical details clearly.

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