Sift · 7 hours ago
Solutions Architect
Sift is redefining how modern machines are built, tested, and operated, providing engineers with real-time observability over high-frequency telemetry. The Solutions Architect will serve as the pre-sales technical expert, collaborating with Sales to address complex engineering and data challenges faced by customers.
Machine LearningSaaSSoftware
Responsibilities
Partner with Sales to articulate Sift’s value proposition, vision, and architecture to customers
Own pre-sales technical engagements during pilots and evaluations
Deliver compelling technical presentations and product demonstrations
Architect customer-specific reference implementations and integration patterns
Translate ambiguous customer requirements into clear technical solutions
Support closing complex opportunities through advanced technical knowledge and credibility
Develop technical content, documentation, and demo applications
Provide structured feedback to Product, Engineering, and Marketing to strengthen Sift’s roadmap and positioning
Stay current on competitive and complementary technologies in observability, data infrastructure, and telemetry
Qualification
Required
4+ years in Solutions Engineering, Solutions Architecture, Forward Deployed Engineering, or technical pre-sales roles
Proven ability to support or close complex enterprise technical opportunities
Strong storytelling and presentation skills, able to communicate technical value to both executive and engineering audiences
Ability to design and explain distributed systems, data pipelines, and real-time integration patterns
Experience with distributed storage and analytical/time-series engines (e.g., ClickHouse, Apache Druid, Bigtable, Apache Pinot)
Understanding of stream processing and ingestion patterns, including windowing, aggregation, late/out-of-order data handling, and replay
Knowledge of data partitioning, sharding, indexing, and modeling strategies for high-cardinality, high-volume time-series workloads
Experience reasoning about data retention, tiered storage, and cost–performance tradeoffs at scale
Ability to translate customer requirements into clear technical architectures and reference implementations
Proficiency with at least one programming language (Python, Java, etc.) and familiarity with REST APIs
Comfortable delivering technical demos, guiding POCs, and handling technical objections
Bachelor's degree in computer science, engineering, or a related field
Interest in aerospace, autonomy, robotics, or other advanced engineering applications
You must be willing and able to work from the Los Angeles Metropolitan Area and be onsite Monday through Thursday due to the nature and business needs of the role
Ability to travel 50%+ required. Varies by location and customer needs
U.S. Person Required: Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations
Preferred
Aerospace or autonomous systems experience
Data streaming technologies (Kafka, Pulsar)
SQL and database fundamentals
Experience with AWS, GCP, or Azure
Familiarity with observability, metrics, or logging platforms
Experience in ML/AI workflows for engineering or sensor data
Prior work mentoring technical sales team members
Experience competitively positioning technical products
Benefits
Equity
Benefits
Company
Sift
Sift offers transformative tools for machine creators to innovate at speed and scale.
Funding
Current Stage
Growth StageTotal Funding
$25MKey Investors
Google VenturesEarthrise Ventures
2024-06-25Series A· $17.5M
2023-11-07Seed· $7.5M
2022-12-01Pre Seed
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