At Falkon we're building a revenue intelligence and automation platform. Our mission is to transform business operations through insights and automation.
Our target customer is revenue growth teams (sales, marketing and customer success). Falkon's capabilities help them understand their prospect and customer behavior so they can market and sell more effectively to those customers. By combining data analytics with data science, our platform provides powerful tools to solve use cases like:
- Understanding what rep behaviors are truly making a different to the sales pipeline
- Understanding what marketing/sales tactics are working and what are not
- Understanding what content is leading to activated, converted and engaged customers
- Targeting the most likely candidate customers for deal expansion
- Setup workflows and automations to find new prospects, connect with them and hand off the most engaged candidates to the sales team for follow-ups
- Leverage generative AI to automate manual steps in go-to-market workflows so humans can spend their time on being creative with messaging and content
- And many more...
Our team consists of product, engineering and data-science veterans from Microsoft, Amazon, Dropbox, Google Amperity and Zulily and others.
We are looking for a results-oriented backend/product engineer who can design, develop and scale the internal systems that power Falkon. This includes:
- building the server-side components of new product features
- building high-performance data ingestion and processing pipelines
- build infrastructure components to quickly process and transform terabytes of data
- collaborate with our data-science teams to bring new models to production, including leveraging the latest in generative AI.
- work on our segmentation engine that allows for lightning fast drill-down across thousands of fields and hundreds of millions of rows
- improve the performance of large data processing tasks
- and many others
Our backend infrastructure is extremely modern and fully containerized on top of Kubernetes. We're big fans of ELT and use tools like DBT and Airflow to power our data pipelines.
What you will do
- Architect and shape our backend infrastructure
- Design and build new services, systems and features that process hundreds of gigabytes of data daily
- Write lots of modern Python.
- Lead, mentor, coach and interview engineers
- Help shape Falkon's culture and processes, and build you dream workplace
What you will need to succeed
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience with common design patterns and workloads for both high-performance transactional databases and data warehouses.
- Experience working a fully-containerized service architecture on top of Kubernetes.
- 5 years of experience building and/or deploying large-scale distributed systems.
- Ability to operate with autonomy in highly ambiguous situations.
- Solid computer science fundamentals.
- Prior startup experience (so you understand how a startup is different from a big-company job)
Nice-to-haves:
- Prior experience working with data from CRMs and marketing platforms (like Salesforce, Hubspot and Marketo)
- Prior work experience at a B2B SaaS company.