Enterprise Sales Development Representative, Anomalo
EMEA
£50k
OTE
+ Equity
More information about location
Autonomous data system for the agentic enterprise
Job no longer available
Autonomous data system for the agentic enterprise
21-100 employees
Job no longer available
£50k
OTE
+ Equity
More information about location
21-100 employees
Company mission
To help users automatically detect data issues and understand their root causes, before anyone else.
Role
Who you are
- 1–2 years B2B SaaS SDR/BDR experience with proven quota attainment (enterprise accounts preferred)
- Outbound track record: built pipeline from scratch using cold outreach (email, LinkedIn, phone)
- AI-native workflow: currently use AI tools (Clay, Claude, ChatGPT, Notion) to automate research and personalize outreach
- Remote self-management: Thrive with outcome-based accountability, structure your own time
- Experience selling to data/analytics buyers (governance, quality, infrastructure personas)
- Ecosystem-led selling experience (Snowflake, Databricks, AWS co-sell programs)
- Startup background preferred
What the job involves
- The Enterprise Sales Development Representative is responsible for supporting and finding leads that will turn into revenue
- You will work closely with account-based marketing integrated campaigns and field marketing to grow pipeline growth and expand opportunities into customers
- This role reports to the Director of Growth Marketing, and will work closely with Sales and other teams at Anomalo
- The ideal candidate is data-driven, strategic, and willing to roll-up their sleeves to get things done
- The candidate should have experience in a fast-growing startup, desire to grow their career in Sales or Marketing, and be willing to experiment to find what works best for Anomalo to grow pipeline and ARR
- We're growing fast in EMEA, where governance mandates (GDPR, AI Act, SOX) are creating unprecedented demand
- Break into enterprise accounts: Break into enterprise accounts: Prospect Director/VP Data Governance and Data & Analytics roles at companies with regulatory exposure. Use intent signals (job changes, funding, audit filings), partner co-sell (Snowflake/Databricks), and ABX campaigns
- Run outbound experiments: Design hypothesis-driven tests on messaging, channels, and audience segments. Track conversion metrics. Iterate fast—kill what doesn't work, scale what does, share what you’ve learned
- Personalize at scale using AI: Leverage Clay, Claude, and custom enrichment workflows to research accounts, pull signals (recent data incidents, governance initiatives), and craft context-aware outreach. Automate manual work so you focus on high-leverage activities
- Qualify ruthlessly: Vet prospects before handing to AEs. Understand their data stack (Snowflake? Databricks?), governance maturity (do they have a CDO?), pain (audit findings? ML stalled by quality issues?), and timeline. Book meetings with >50% chance of converting to pipeline
- Close the feedback loop: Report what's landing and what's not. If a campaign generates low-quality leads, say so. If a partner intro converts at 80%, tell us why. Your ground truth shapes strategy
Our take
In the realm of expanding data repositories, the detection of potentially detrimental data anomalies takes on heightened significance, especially in the context of machine learning models. Anomalo steps in with an automated solution, leveraging machine learning to tackle the critical issue of data viability.
Anomalo integrates with enterprise data warehouses, like Snowflake, where extensive corporate data is stored. Its role involves vigilant monitoring and identification of unusual discrepancies and undesirable alterations across these datasets. Given the pivotal role data plays in business operations, such early detection of issues becomes imperative.
Anomalo is accelerating its impact with the launch of its Self-Driving Data platform, which goes beyond automated data quality to fully autonomous monitoring, investigation, and insight generation. The system uses nine AI agents to detect changes, resolve issues, and surface business-relevant insights without human intervention, helping enterprises trust and act on data in real time.
With major clients processing billions of rows daily, Anomalo is ready to be a foundational layer for AI-driven decision-making, turning data from a constant operational burden into a strategic advantage, and setting the stage for continued growth as organizations increasingly rely on agentic, self-managing data systems.
Freddie
Company Specialist at Welcome to the Jungle
Insights
50% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$10m
SERIES B
Jan 2024
$33m
SERIES B
Total funding: $82m
Company benefits
- Fully Remote: We are fully remote and believe your best work happens from where you’re most productive. We offer a generous stipend to ensure your remote office is comfortable
- Generous Time Off: Enjoy 17 company holidays and unlimited vacation time that we encourage you to take. We also have a company-wide winter break the last week of the year
- Family-Friendly: Comprehensive medical, dental, and vision insurance plans. 16 weeks of parental leave, during which you will receive your full pay. We will provide access to family planning and reproductive care to employees and their families by partnering with Carrot Fertility
- We Stay Connected: We know the importance of staying connected to one another, and make time to get together in person (in a new destination!) for a company-wide offsite each quarter
Leadership
Elliot Shmukler
(Co-Founder & CEO)A Product and Growth leader with more than 20 years of experience with Internet Consumer Software products. Previously VP of Product and Growth for Wealthfront Inc., and Chief Growth Officer at Instacart.
Jeremy Stanley
(Co-Founder & Chief Scientist)A Data Science, Machine Learning, and AI leader. Previously CTO at Collective, Chief Data Scientist & EVP of Engineering at Sailthru, and VP of Data Science at Instacart.
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