Key Account Executive

JD- Accounts Executive
Remote Role

About the Role

Element Data provides access to public and proprietary datasets via Snowflake to pharma, biotech, and life sciences companies. We are building a two-AE sales team to drive $500K in combined annual recurring revenue, with each AE owning a $250K ARR quota across a defined territory.

You will own the full sales cycle from discovery call to signed contract. A dedicated sales coordinator generates your pipeline, and a data engineer supports your technical conversations. Your job is to close — consistently, at volume, and at pace.

This role is built for someone who has proven they can run deals end-to-end, is comfortable talking to technical buyers in pharma and life sciences, and thrives in a lean team where the playbook exists but needs to be executed with discipline.

Core Responsibilities

SALES EXECUTION

→ Own the full sales cycle from discovery call to signed contract across all deal sizes ($1K–$25K ACV)

→ Run 8–10 discovery calls per month from coordinator-sourced and Marketplace inbound leads

→ Convert qualified calls to proposals within 48 hours using tiered templates

→ Commission custom dataset POC samples from the DE for mid/large deals to support close

→ Manage open pipeline at 4–5× monthly revenue target at all times

ACCOUNT MANAGEMENT

→ Own renewals and expansion for all closed accounts — quarterly check-ins, upsell identification

→ Maintain gross revenue retention above 90% across your account base

→ Pass expansion pipeline back into the formal deal process with full CRM logging

REPORTING & COLLABORATION

→ Provide weekly pipeline updates to vertical lead: deal stage, expected close, blockers, next actions

→ Brief your coordinator daily on prospect priorities, ideal ICP signals, and messaging feedback

→ Coordinate with the DE on POC sample timing — communicate pipeline needs clearly and early

→ Feed buyer intelligence back to vertical lead: objections, competitor mentions, dataset gaps

WHAT YOU DO NOT OWN

→ Cold prospecting — coordinator owns outbound. Your job starts at qualified and interested.

→ Data engineering or technical delivery — explain what’s possible, not how it works.

→ Marketing or content strategy — vertical lead owns channel and positioning.

Monthly KPIs — Full Ramp (Month 4+)

KPI

Target

Discovery calls held

8–10 / month

Proposals sent

5–6 / month

Call → proposal conversion

> 60%

Proposal → close rate

> 35%

Deals closed

2–3 / month

Avg sales cycle

< 45 days

Open pipeline value

$80–100K

KPI

Target

New ARR closed / month

$18–25K

Expansion ARR / month

$3–5K

Gross revenue retention

> 90%

Annual ARR quota

$250K

CRM update frequency

Same day

POC samples requested (DE)

2–3 / month

Pipeline coverage ratio

4–5× target

Requirements

MUST-HAVE EXPERIENCE

→ 3–5 years full-cycle B2B sales — independently took deals from first call to signed contract, repeatedly

→ Sold to technical buyers — data scientists, bioinformaticians, VP R&D, or similar

→ Sold data products, SaaS, or technical platforms — understands how buyers evaluate data purchases

→ Familiar with Snowflake — can explain a data share to a non-technical buyer without engineering support

→ Consistent quota attainment — 2+ years hitting a defined revenue number

→ Strong written and spoken English — proposals and emails are clear without heavy editing

→ CRM discipline — logs everything, maintains pipeline hygiene, uses data to self-manage

STRONG PREFERENCE FOR

→ Experience in pharma, biotech, life sciences, or health data — understands RWE, clinical data, or genomic dataset use cases

→ Sold deals in the $5K–$50K ACV range — mid-market velocity, not enterprise procurement cycles

→ Worked in a small or early-stage team — has executed a motion, not just followed one

→ Comfortable using AI tools in sales workflow — email drafting, prospect research, call prep

→ Collaborative across a shared resource — coordinates DE requests with the other AE without escalating every conflict

NOT A FIT IF

→ You need a fully built inbound pipeline — the coordinator generates leads but the motion is still maturing

→ You have only sold enterprise deals with 6–12 month cycles — the pace here is 30–45 days and volume matters

→ You are uncomfortable with technical data conversations — buyers will ask about schema, update frequency, and Snowflake access models

A NOTE ON THIS ROLE

This is a high-accountability, high-autonomy position at a business that has proven its commercial motion and is now scaling it. The IC phase demonstrated that the datasets sell, the Marketplace generates inbound, and buyers exist in the ICP. What we need now is someone who can close 2–3 deals a month, every month, treat a $3K deal with the same professionalism as a $20K one, and build a territory that compounds over time through renewals and expansion.

If you are the kind of sales professional who is energised by owning a number, building genuine relationships with technical buyers, and working in a team that moves fast — this role is for you.

Pay: From Rs400,000.00 per month

Application Question(s):

• Do you have at least 3 years of experience managing the full B2B sales cycle, from discovery call to signed contract?
• Have you sold SaaS, data products, or other technical solutions in a quota-carrying sales role?
• Have you sold to technical stakeholders such as data scientists, analysts, engineers, bioinformaticians, or R&D leaders?
• Have you met or exceeded a sales quota for at least 2 consecutive years?
• Have you closed B2B deals in the $1K–$25K ACV range (or similar mid-market deal sizes)?
• Can you comfortably discuss technical products such as data platforms (e.g., Snowflake) at a high level with non-engineering buyers?
• Have you been individually responsible for closing deals without relying on separate closers or account managers?
• Have you worked in a sales environment where the average deal cycle was 30–60 days?
• Current Salary? (in PKR)
• Expected Salary? (in PKR)
• How soon you can join if get selected? (in days)
• Are you comfortable to work in afternoon shift?

Work Location: Remote