Staff Data Engineer, ASAPP
$195-235k
+ Equity
Office located in Mountain View, CA
AI agents for enterprise contact centers
Job no longer available
AI agents for enterprise contact centers
201-500 employees
Job no longer available
$195-235k
+ Equity
Office located in Mountain View, CA
201-500 employees
Company mission
To solve the toughest challenges in customer services with AI.
Role
Who you are
- 7+ years industry experience with clear examples of strategic technical problem solving and implementation
- Expertise in at least one flavor of SQL. (We use Amazon Redshift, MySQL, Athena and Snowflake)
- Strong experience with data warehousing (e.g. Snowflake (preferred), Redshift, BigQuery, or similar)
- Experience with dimensional data modeling and schema design
- Experience using developer-oriented data pipeline and workflow orchestration (e.g. Airflow (preferred), dbt, dagster or similar)
- Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers’ code and intentions. (We use Python, Scala, and Go)
- Deep technical knowledge of data exchange and serialization formats such as Protobuf, YAML, JSON, and XML
- Familiarity with BI & Analytics tools (e.g. Looker, Tableau, Sisense, Sigma computing or similar)
- Familiarity with streaming data technologies for low-latency data processing (e.g. Apache Spark/Flink, Apache Kafka, Snowpipe or similar)
- Familiarity with Terraform, Kubernetes and Docker
- Understanding of modern data storage formats and tools (e.g. parquet, Avro, Delta Lake)
- Knowledge of modern data design and storage patterns (e.g. incremental updates, partitioning and segmentation, rebuilds and backfills)
Desirable
- Experience working at a startup preferred
- Excellent communication skills - (Slack/Email/Documents)
- Experienced with end user management & communication (cross team as well as external)
- Must thrive in a fast paced environment and be able to work independently with urgency
- Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)
- Experienced in writing technical data design docs (pipeline design, dataflow, schema design)
- Can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders
- Good at task management & capacity tracking (JIRA (preferred))
What the job involves
- Join our team at ASAPP, where we're developing transformative Vertical AI designed to improve customer experience
- Lead the batch analytics team by providing the groundwork to modernize our data analytics architecture
- Design and maintain our data warehouse to facilitate analysis across hundreds of systems events
- We are seeking a Staff Data Engineer to serve as both a technical leader and a core individual contributor, by designing and building analytic data feeds for both our business partners and internal stakeholders
- Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouses
- Review code for style and correctness across the entire team
- Write production-grade Redshift, Athena, Snowflake & Spark SQL queries
- Manage and maintain Airflow ETL jobsTest query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needsInvestigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Work with stakeholders in Data Infrastructure, Engineering, Product and Customer Strategy to assist with data-related technical issues and build scalable cross platform reporting framework
- Participate in, and co-manage our on-call rotation to keep production pipelines up and running
Our take
With around 70% of purchases driven by customer experience, call centers are an important part of many large companies' sales operations. But call centers have a problem retaining skilled agents, with high pressure and workloads leading to a turnover rate more than double other workforces. ASAPP is aiming to fix that by providing AI tools to support call center agents by reducing their data entry and reporting workload.
ASAPP is by no means alone in this space, with other startups such as Lang, Gong and Cogito entering the AI call-center market along with growing interest from giants such as Amazon and Google. But it's early start (ASAPP was founded in 2014) and focus on development of its NLP models gives it an edge that it seems set to retain, with a client base consisting of enterprise companies such as JetBlue, EY and American Airlines.
In 2024, ASAPP continued to lead the way in generative AI for contact centers, with the launch of its GenerativeAgent product, redefining customer service by automating 99% of interactions and boosting efficiency and satisfaction. With strong partnerships and a history of success, ASAPP is ready for even more growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
May 2021
$120m
SERIES C
May 2020
$185m
SERIES B
Total funding: $380m
Company HQ
World Trade Center, New York, NY
Leadership
Priya joined ASAPP in 2022 as CTO, moving into the role of President of Technology in 2023, Interim CEO in 2024 and CEO in 2025. Prior to ASAPP, she spent 3 years at Microsoft as a VP of Data & AI and 2 years at IBM as CTO/VP of Applied AI.
Jo-Anne Sinclair
(CLO)Prior to joining ASAPP in 2016, Jo-Anne was an Attorney at Sereno Legal Service and an SVP of Legal at Nuance Communications. She was also on the General Counsel at ScanSoft for 5 years and Caere Corporation for 2 years.
Nirmal Mukhi
(Chief Architect)Nirmal joined ASAPP in 2021 as a Director of Machine Learning Infrastructure. Since then, he has held a number of roles and moved into the role of Chief Architect in 2025. Previously, he served as the CTO at TRANSFR and spent 19 years at IBM, joining as a Software Engineer before becoming a Solutions Portfolio Manager, Development Manager of IBM Watson Education, and Development Leader of Watson Education Platform.
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