Partner Solutions Architect
$180k - $250k/yr
Expert
Canada+1 moreMore locations: United States
In Person
Solution EngineeringDeveloper Relations & Advocacy
About the job
Requirements
- 10+ years of professional experience in customer- or partner-facing technical roles, such as Solutions Architecture, Partner Engineering, Sales Engineering, or ML Infrastructure, ideally supporting data platforms or distributed systems.
- A proven track record working with or within a partner ecosystem, such as system integrators, cloud providers, or technology alliances, and a firm grasp of how partners take solutions to market.
- Deep understanding of distributed systems concepts, including sharding, replication, partitioning, and performance tuning, and container orchestration, Kubernetes, and cloud object storage.
- Strong proficiency in Python and willingness to use Rust, or vice versa, to read, debug, and write production-grade integration code or SDK extensions.
- Ability to translate complex data infrastructure into actionable solutions for audiences ranging from partner developers to C-level executives.
- Ability to thrive and operate autonomously in fast-moving, ambiguous environments.
Responsibilities
- Lead technical onboarding, training programs, and certifications for partner engineers and architects, equipping them to independently deliver and support LanceDB implementations.
- Partner with alliances and field teams to support high-value proofs of concept, design reviews, and architectural validations for complex, cloud-native enterprise environments.
- Author and maintain partner-facing technical assets, including production-ready reference architectures, integration guides, deployment blueprints using Terraform and Docker, and sample code.
- Serve as the primary technical liaison between partners and internal Product and Engineering teams; synthesize partner feedback and feature requests to influence the roadmap.
- Participate in joint business planning and support regional technical marketing events, hackathons, and campaigns alongside channel account managers.
- Share best practices through technical blogs, whitepapers, open-source contributions, and presentations at industry conferences to drive ecosystem adoption.
Desired Qualifications
- Hands-on experience building or supporting vector search pipelines, retrieval-augmented generation applications, feature stores, or multimodal AI architectures.
- Experience with open-source data frameworks and infrastructure orchestration tools such as Apache Spark, Ray, Delta Lake, Terraform, Kafka, or Airflow.
- Familiarity with observability and monitoring stacks such as Prometheus, Grafana, and OpenTelemetry for troubleshooting distributed workloads.
- Active contributions to open-source communities or a portfolio of developer-facing technical content, such as blogs, tutorials, or GitHub repositories.
About the company
LanceDB is an open-source vector database designed for AI applications, storing and managing high-dimensional vectors and multimodal data. It runs serverlessly with a compute-storage split to lower costs and offers multiple indexing options, including vector indexes, for fast queries; it provides hybrid search by combining semantic and full-text search as point lookups inside the database. Its open-core model plus a managed cloud (LanceDB Cloud) for enterprises gives it a cost-aware and scalable option compared to traditional managed databases. The goal is to provide developers with a production-ready, scalable, and cost-efficient datastore for AI embeddings and multimodal data, enabling easy deployment and integration for AI-powered apps.
Company Size
51-200
Company Stage
Series A
Total Funding
$38.1M
Headquarters
San Francisco, California
Founded
2022
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Simplify's Take
What believers are saying
- Series A closed July 22, 2026, led by Theory Ventures and Databricks Ventures.
- Hugging Face integration and DuckDB SQL retrieval expanded distribution during 2026.
- Reverie Summit on August 11, 2026, positioned LanceDB inside physical-AI and world-model spending.
What critics are saying
- Open-source usage can commoditize LanceDB before Enterprise monetization matures in 2026.
- Databricks, Snowflake, and OpenSearch already bundle adjacent retrieval features, squeezing LanceDB adoption.
- If LanceDB misses enterprise-scale reliability, customers like ByteDance shift critical workloads elsewhere.
What makes LanceDB unique
- LanceDB’s Lance format powers multimodal data, with v0.38.0 released August 31, 2026.
- CrewAI rebuilt agent memory on LanceDB, citing 2B+ executions on August 3, 2026.
- ByteDance Volcano Engine used Lance for 100K+ QPS and seven-day-to-one-day pipelines.
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Benefits
- Remote Work Options
- Hybrid Work Options
- Flexible Work Hours
- Health Insurance
- Dental Insurance
- Vision Insurance
- Wellness Program
- Mental Health Support
- Professional Development Budget
- Conference Attendance Budget
- Stock Options
- Company Equity