Full-Time

Founding Security Engineer

Governance, Risk & Compliance, GRC

Posted on 9/23/2025

SIFT

SIFT

51-200 employees

Automated certification and compliance platform

Compensation Overview

$170k - $220k/yr

+ Equity + Benefits

San Francisco, CA, USA

Remote

US Citizenship, US Top Secret Clearance Required

Category
IT & Security (3)
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Requirements
  • 5+ years in cybersecurity, product security, or cloud security roles, ideally in high assurance or regulated industries.
  • Hands-on experience securing AWS or an equivalent cloud service provider (GovCloud preferred) and Kubernetes-based environments, with strong infrastructure as code practices.
  • Proven track record leading or supporting compliance initiatives such as SOC 2, NIST 800-171, CMMC, FedRAMP, or ISO 27001.
  • Deep understanding of network, endpoint, and identity security principles.
  • Experience with security tooling and integration into operational workflows.
  • Ability to translate compliance requirements into clear, actionable engineering work.
  • Experience managing third-party/vendor risk and customer-facing security reviews.
  • Clear communicator with both technical and non-technical stakeholders.
  • Customer-facing presence for audits and enterprise assurance.
  • Collaborative partner to infra and product teams.
  • High ownership and adaptability in ambiguous, fast-moving environments.
  • Integrity and trustworthiness, handling sensitive data, and compliance matters with discretion.
  • Excited to operate as a team of one early on, with the vision to build and lead a security function over time.
Responsibilities
  • Build secure CI/CD pipelines with embedded scanning.
  • Operate and tune SIEM/EDR (ELK, Datadog, Splunk, CrowdStrike, Prometheus, Grafana). Secure multi-cloud environments (AWS GovCloud, Kubernetes, on-prem).
  • Implement zero-trust networking and modern SASE/ZTNA approaches.
  • Improve visibility and observability across networks and workloads.
  • Lead compliance initiatives: SOC 2, ISO 27001, NIST 800-171, FedRAMP, CMMC.
  • Manage third-party/vendor risk assessments.
  • Own internal/external audits and readiness for customer/government reviews.
  • Lead company-wide security awareness: phishing simulations, compliance workshops, and role-specific training.

SiftStack provides automated certification and compliance tools tailored for fast-moving engineering teams. Its platform streamlines the certification process by generating automated reports, capturing institutional knowledge, and documenting data and decisions to speed up investigations and reduce software costs. It includes cloud-spending optimization to keep tools responsive and within budget, and supports easy onboarding so engineers can start in an hour or less. The product also enhances collaboration with advanced teamwork features, and uses real-time rules on a streaming event engine to spot anomalies quickly for fast decision-making. Unified visualization and query-optimized storage enable situational awareness across millions of datasets and time-synchronized logs. SiftStack operates on a subscription model, serving engineering teams across industries to improve compliance workflows and overall productivity.

Company Size

51-200

Company Stage

Series B

Total Funding

$67M

Headquarters

El Segundo, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Sift raised $42M Series B in 2026 from StepStone and GV to expand engineering.
  • Partnerships with Manufacturo and JetZero drive hardware traceability and flight efficiency.
  • Physical AI demand surges as defense, space, and autonomy adopt AI-controlled systems.

What critics are saying

  • Sift.com erodes anomaly detection moat with 1T events from 700 brands in 12 months.
  • SIFT AI undercuts manufacturing compliance, reducing costs 60% for SMBs in 6 months.
  • Prometheus and Grafana replicate Sift's pipeline for free via SpaceX networks in 12 months.

What makes SIFT unique

  • Sift transforms unstructured sensor data from rockets into queryable AI formats.
  • Founded by SpaceX engineers, Sift serves ULA, Astranis, and K2 Space at fleet scale.
  • Sift's AI-native platform optimizes high-frequency telemetry for mission-critical hardware.

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Benefits

Remote Work Options

Company Equity

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

2%

2 year growth

0%
The Market AI
Mar 30th, 2026
Sift raises $42M to build the missing data layer for Physical AI.

Sift raises $42M to build the missing data layer for Physical AI. Sift has raised a $42 million Series B led by StepStone, with participation from GV, Riot Ventures, Fika Ventures, and CIV, bringing total funding to $67 million. The company is targeting a growing gap in AI infrastructure: the ability to make physical machines understandable to AI systems. As AI moves beyond software into real-world environments, systems like rockets, satellites, and autonomous vehicles generate millions of sensor data points per second across audio, video, logs, and telemetry. But unlike software environments, this data is largely unstructured and difficult to interpret. Sift's platform aims to solve this by transforming raw machine data into structured, queryable formats that both engineers and AI models can use. In effect, it acts as an "observability layer" for hardware, bringing a level of visibility that software systems have developed over the past two decades. Founded by former SpaceX engineers, the company is already working with organizations such as ULA, Astranis, and K2 Space, supporting systems that operate at fleet scale rather than as isolated machines. The shift from managing single assets to operating constellations of hundreds or thousands of systems is driving demand for automation in monitoring, anomaly detection, and performance validation. With the new funding, Sift plans to expand its engineering team and platform capabilities as more industries move toward AI-controlled hardware systems across defense, space, manufacturing, and autonomy. TheMarketAI take. TheMarketAI has written before that physical AI is fundamentally different from software AI. Large language models benefit from abundant, structured data. Physical systems do not. Instead, they produce messy, high-frequency, multi-modal data that is difficult to interpret and even harder to scale. Sift is tackling a less visible but critical layer of that problem: making the physical world legible to AI. Before AI can control machines, it needs to understand them. That requires translating raw sensor output into structured data pipelines - something that, until now, has largely been handled manually or through fragmented tools. This reinforces a broader theme in Physical AI: progress may not come from better models alone, but from infrastructure that bridges the gap between real-world complexity and machine understanding. The physical part of AI remains both the hardest and most interesting frontier. Companies like Sift are betting that whoever builds the data layer wins.

StreetInsider
Mar 25th, 2026
SpaceX veterans' Sift raises $42M to make mission-critical machines observable to AI

Sift, founded by SpaceX veterans, has raised $42 million in a Series B round led by StepStone, with participation from GV, Riot Ventures, Fika Ventures and CIV. The funding brings total capital raised to $67 million. The company provides an intelligence layer that transforms raw sensor data from mission-critical machines into structured, queryable information for engineers and AI systems. Its platform addresses the infrastructure gap between AI capabilities and physical hardware operation across space, defence, manufacturing and autonomy sectors. Sift's clients include ULA, Astranis, K2 Space and Parallel Systems. The company plans to nearly double its workforce from 70 employees and relocate to larger headquarters in Marina Del Rey. CEO Karthik Gollapudi and co-founder Austin Spiegel previously built monitoring systems for rockets and spacecraft at SpaceX.

PR Newswire
Mar 25th, 2026
Sift Raises $42M Series B to Build AI Infrastructure for Mission-Critical Machines

/PRNewswire/ -- Sift, the intelligence layer for mission-critical machines, today announced it has closed a $42 million Series B financing round led by...

VPNGeo
Mar 13th, 2025
Sift and Manufacturo Partner to Deliver End-to-End Machine Data Traceability Across the Hardware Lifecycle

By integrating Sift's real-time data observability tools with Manufacturo's process and genealogy tracking, manufacturers can now achieve full hardware traceability - from component testing to final assembly.

Sift
Jan 15th, 2025
Combining Efficient Flight with SpaceX Expertise

JetZero partnered with Sift, recognizing the shared values of technical excellence and a mission-critical mindset.

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