Cloud Sales (WFH)

About the job:

Cloud Sales Executive

India based, selling to US customers | 4 to 5 years of experience | Full time

About Infarsight

Infarsight is an engineering partner for Agentic AI enabled operations. We have been building for over 10 years, with a team of 120+ engineers, 30+ clients, and 4 proprietary accelerators. Our clients are mid-market and enterprise operators in the US and beyond, across industries including manufacturing, logistics, retail, and travel. We work at the intersection of their operational systems and the AI capabilities now reshaping them.

What we are building

We are standing up a new practice area: bringing disruptive, best-in-class IP to customers to enable their Agentic AI transitions. Our answer is a curated portfolio of cloud products that solve these problems including: Amnic (a cloud cost observability and FinOps platform), Zeliots Condense (a real-time data streaming solution), as well as several vertical specific IP portfolios (e.g. Tripsight, Tasksight, etc). As the practice grows, additional products will be added to the portfolio.

Why this role exists

This practice is new and is the direct mandate of the SVP of Revenue for our company. We need an excellent operator to partner with our leadership team: someone who can identify the right US buyers, reach them with outreach that gets replies, run discovery that surfaces both the technical problem and the business consequence, and carry deals through licensing and procurement to close.

What you will do

Build outbound pipeline for the cloud products practice through prospecting, targeted outreach, and structured follow-up against defined customer archetypes

Own the full sales cycle: lead generation, qualification, discovery, evaluation, commercial negotiation, and close

Run discovery calls that connect a customers technical estate (cloud architecture, Kubernetes footprint, AI workloads) to business outcomes (unit economics, margin, budget accountability)

Manage licensing and commercial conversations across subscription, consumption, committed spend, and marketplace models

Coordinate proof-of-concept evaluations with customer engineering teams and Infarsight and partner solution engineers

Maintain accurate pipeline data in CRM and forecast honestly

Feed field intelligence back into the practice: which segments respond, which objections recur, what the portfolio is missing

Work hours aligned to US time zones for customer-facing activity

What you need

4 to 5 years selling cloud or SaaS solutions, ideally at or around vendors such as AWS, Azure, GCP, MongoDB, Databricks, Snowflake or similar

Working knowledge of cloud licensing: subscription, consumption-based, committed spend, and cloud marketplace transactions

Enough technical depth to ask the right discovery questions and follow the answers. You do not need to be an engineer. You need to recognize when a customers Kubernetes bill or inference spend is the real problem

A track record of sourcing your own pipeline, not just working inbound

Experience selling into US buyers from India, or clear evidence you can

Clear written communication. Outreach that is specific, short, and honest

What sets you apart

Experience selling FinOps, observability, cost management, or infrastructure tooling

Familiarity with AI/ML workloads and the cost and governance questions they raise

Experience in a founding or first-seller role where you built pipeline from zero

What you get from this role

Ground-floor position in a new practice: you shape the playbook, the segment focus, and the motion, not just execute someone elses

Direct exposure to the Agentic AI transition inside real enterprises, one of the most commercially significant shifts in enterprise technology

A defined path to leading the practices sales function as the portfolio and team grow

Work directly with practice leadership and product founders rather than through layers

Compensation structured around base plus deal-based commissions

The credibility of selling proven products. For example, Amnic customers have published results including 50% cluster cost reductions and 40% compute cost reductions

How to apply

Send a short note (no more than 1 paragraph) describing the deal you are most proud of and why. Dont shy away from sharing a deal you ultimately lost, what we care most about is the rigor & intensity you applied to the sales cycle.

Who can apply:

Only those candidates can apply who:
- have minimum 4 years of experience
- are Computer Science Engineering students

Salary:
Competitive salary

Experience:
4 year(s)

Deadline:
2035-01-01 00:00:00