Albert Wang
Co-Founder And CEO at Parameter Ventures
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAlbert Wang is a founder and product-focused technology leader with 10+ years building developer and sales-facing platforms from early product-market fit to scale. As Co-Founder and CEO of an AI-driven outbound automation startup and a partner at an early-stage venture firm, he blends operator instincts with investor perspective to optimize go-to-market and product strategy. He formerly led product at Materialize and Datadog, shipping core features in streaming SQL and APM/monitoring that serve production-scale customers. A Berkeley EECS undergrad and Harvard MBA, he pairs deep engineering roots with GTM rigor and a knack for turning complex systems into simple user workflows. Albert is an active open-source contributor—improving Datadog's Python APM docs and contributing to Materialize’s SQL parser—illustrating his attention to developer experience as well as product detail. Colleagues describe him as pragmatic, data-driven, and unusually hands-on for a CEO, often jumping into code or docs to unblock teams.
10 years of coding experience
13 years of employment as a software developer
B.S. Electrical Engineering and Computer Science, B.S. Electrical Engineering and Computer Science at University of California, BerkeleyPeninsula High SchoolMBA Business Administration, MBA Business Administration at Harvard Business School
Chinese
Github Skills (15)
sql-parser10
rust10
parsing10
trace10
tracer10
sql10
documentation10
apm9
streaming-data9
kafka9
observability9
materialized-view8
postgresql7
datastore7
python5
Programming languages (9)
Github contributions (5)
MaterializeInc/materialize
May 2020 - Aug 2021
Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:72 reviews, 129 commits, 84 PRs in 1 year 3 months
Contributions summary:Albert primarily worked on the SQL parser component, modifying the `statement.rs` file to include various SQL statement types and related structures. They also contributed to the documentation, adding details regarding upsert envelopes and refining the Kafka source configuration options. Further commits included correcting typos and merging branches into the main development branch. Their work indicates a focus on the core SQL parsing and data integration aspects of the Materialize project.
streamsdata-warehousedistributed-sql-databasestreamingpostgresql-dialect
DataDog/dd-trace-py
Aug 2016 - May 2017
Datadog Python APM Client
Role in this project:Technical Writer
Technical WriterContributions:22 commits, 8 PRs, 13 pushes in 8 months
Contributions summary:Albert primarily focused on improving and clarifying the project's documentation. Their contributions included reorganizing documentation, fixing grammar issues, and providing more context to the user. They added new sections, such as "Cross-Host Tracing," and clarified existing concepts, making the documentation more user-friendly.
profilingpythonapm-clientapmsecurity
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