Technical Account Executive, Lightdash
£60-90k
+ Equity + Commission
Agent BI platform for modern data teams
Open for applications
Agent BI platform for modern data teams
21-100 employees
Open for applications
£60-90k
+ Equity + Commission
21-100 employees
Company mission
To use AI to build and manage analytics so teams can focus on strategy while the business gets trusted, self-serve insights.
Role
Who you are
- 3+ years of technical B2B startup sales experience
- Strong analytical and documentation abilities
- Excellent communication across technical/business stakeholders
- You've owned customer relationships in the past, selling $20k-100k+ ACV deals
Desirable
- Data driven curiosity and interest in data and analytics
- Interest in data and analytics
- Experience with outbound prospecting
What the job involves
- Join as one of the first dedicated Sales hires at Lightdash, building out our GTM team
- In this role, you’ll be talking and demoing to our customers and building relationships for the future too
- You'll be running technical demos of the product, and be a product expert for our customers
- As our first dedicated sales hire at Lightdash, you'll be a builder-seller hybrid, working to transform our early customer wins into a structured, repeatable sales motion
- You'll work directly with the CEO to establish our core sales framework while actively selling
- Help bring leads from our open-source ecosystem into the sales funnel
- Running product demos on your own without sales engineers - our customers love us since we speak data, we'll expect you to be able to do this too
- Own the full sales cycle while documenting what works to create a scalable process for sales
- Provide voice-of-customer feedback to product team
- Contribute to sales collateral for future deals
- Help test and validate new sales approaches
Our take
Lightdash was founded with the goal to help customers analyze their data by proposing relevant tests and thresholds to track, allowing users to customize queries by adding their own metrics. The platform currently supports most major data warehouses including Snowflake and BigQuery, with planms to keep broadening coverage.
Founders Hamzah Chaudhary and Oliver Laslett’s background as data scientists and software engineers gives them a significant advantage when developing a tool that aims to simplify the day-to-day for these types of employees. Lightdash tests the quality of the data directly from the customer’s data warehouse and reports any potential issue, allowing the client to visualize the results on a customised dashboard that requires no coding skills.
Crucially, Lightdash is open-source. That means it prioritizes integrations by default unlike Looker which, being owned by Google, has resulted in decreased interoperability with systems outside of GCP. On top of this, the company secured Series A funding in 2024, which is being used to roll out its AI Analyst product available on its cloud.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Oct 2024
$11m
SERIES A
Oct 2022
$6m
SEED
Total funding: $19.5m
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Hamzah Chaudhary
(Co-Founder & CEO)Prior to co-founding Lightdash in 2021, Hamzah was a Faculty Advisor at Founders Academy. They also spent 3 years at Cytora as a Data Engineer, Product Manager and Director of Product Management.
Oliver Laslett
(Co-Founder & CTO)Oliver previously worked at Stack More Layers as a Machine Learning Engineer. Prior to that, they spent nearly 4 years at Cytora as a Data Scientist and Machine Learning Scientist.
Diversity, Equity & Inclusion at Lightdash
- We're lucky to have access to a large network of people in tech. We provide underrepresented employees with the resources and intros they need to connect with external mentors in their group to provide support and promote growth
- Being remote-first gives us the opportunity to "let folks have a life outside of work". We want that, and we understand that for certain groups of people, it's a requirement to be able to work from somewhere that isn't an office and have more flexible working hours.
- We ask ourselves regularly if we're doing enough in hiring a diverse team. Then, we ask ourselves if we're doing enough to promote diversity once someone is part of the team. We talk openly about what we're doing to promote diversity. We want our team to be able to question our efforts and talk about what we can do to improve.
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