OT Security Architect – Remote

Company: Well-established, family-owned manufacturing organization

Location: Fully remote (US-based), with quarterly travel to manufacturing facilities across the United States and potentially Canada

About the Role:

We are seeking an OT Security Architect to safeguard and advance the operational technology (OT) security infrastructure across our manufacturing footprint. This is a high-visibility, remote-first role for a security professional who thrives on architecting resilient, standards-driven defenses for industrial environments.

What You'll Bring:

•Multiple years of OT security experience with a strong architectural focus

•Demonstrated experience designing segmentation strategies, Zero Trust architectures, or comparable frameworks

•Working knowledge of industry standards including NIST, MITRE ATT&CK for ICS, and IEC 62443

•Experience defining and implementing security controls within OT engineering environments

Compensation & Benefits:

•Base salary: $160,000–$170,000, commensurate with experience

•Annual performance bonus

Work Arrangement:

•Fully remote

•Quarterly travel to manufacturing facilities throughout the U.S. and potentially Canada

Eligibility

•Candidates must be authorized to work in the U.S. without sponsorship (U.S. Citizens or Green Card holders only)

Flight Software Engineer (Senior & Staff)

West Los Angeles, CA (5 Days Onsite)

$140,000 - $236,000 + Bonus + Equity

We're partnering with a well-funded aerospace startup developing next-generation space systems that are redefining what's possible in orbital operations. Backed by leading venture investors and supported by major U.S. government programs, the company has quickly established itself as one of the most exciting engineering organizations in the commercial space industry.

You'll join an engineer-first culture where small, highly talented teams own complex technical problems from concept through deployment. Engineers are trusted to make meaningful architectural decisions, move quickly, and spend the vast majority of their time building software that directly powers real missions—not navigating layers of process.

The team is tackling challenges that few organizations in the world are working on today, with technology that has both immediate national security applications and enormous long-term commercial potential.

The Role

As a Flight Software Engineer, you'll develop the software that runs directly onboard next-generation spacecraft. Working on the Processing Core team, you'll own critical components of the flight software stack responsible for vehicle operation throughout the mission lifecycle.

This is a true systems engineering role where you'll work close to the hardware, designing highly reliable software that powers autonomous spacecraft in demanding environments. You'll collaborate with hardware, avionics, ground software, and mission operations teams to build software that is tested, deployed, and flown on real missions.

What You'll Do

• Design, develop, and maintain mission-critical flight software for spacecraft.
• Build software that interfaces directly with embedded hardware, sensors, and onboard systems.
• Develop reliable, fault-tolerant software for mission-critical environments.
• Own features throughout the full software lifecycle, from architecture and implementation through testing, deployment, and flight operations.
• Partner closely with cross-functional engineering teams to integrate hardware and software across the entire vehicle.

We're Looking For

• 3+ years of professional software engineering experience (Senior and Staff opportunities available).
• Strong experience with systems programming using Rust (preferred), C++, or C.
• Linux development experience.
• Experience building production-quality embedded systems, flight software, firmware, or other mission-critical software.
• Experience developing software that interfaces directly with hardware.
• Strong understanding of software architecture, debugging, and systems design.
• Staff engineers should have experience leading technical direction and owning complex software systems.

Nice to Have

• Aerospace, satellite, robotics, autonomous systems, or defense experience.
• Experience with Hardware-in-the-Loop (HITL), Software-in-the-Loop (SITL), or integration testing.
• Knowledge of networking, telemetry, fault management, bootloaders, drivers, or real-time systems.
• Experience developing software for safety-critical or highly reliable environments.

Why Join?

• Build software that flies on real spacecraft and directly enables mission success.
• Join a rapidly growing company backed by top-tier investors and major government partnerships.
• Work alongside an exceptional team of engineers solving some of the most technically challenging problems in aerospace.
• High ownership, minimal bureaucracy, and the opportunity to shape core flight software architecture from the ground up.
• Engineer-first culture where you'll spend the vast majority of your time building world-class software instead of sitting in meetings.

Compensation

• Bases up to 235,000
• Performance Bonus (10–20%)
• Equity
• Comprehensive benefits package

Please note: Due to the nature of this work, applicants must be U.S. Citizens (or otherwise eligible to obtain a security clearance). No visa sponsorship or relocation assistance is available.

Machine Learning Engineer

Remote (US, Canada & Europe)

We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the largest live gaming experiences anywhere.

This is an opportunity to join a highly entrepreneurial engineering team where you'll become the Machine Learning expert, developing production ML systems that drive business decisions, optimize player experiences, and influence games enjoyed by millions of users every month.

Rather than working on isolated proof-of-concepts, you'll own models from concept through deployment, helping shape the future of Machine Learning within a rapidly scaling technology business.

The Opportunity

As the company's dedicated Machine Learning Engineer, you'll work closely with engineering leadership to build scalable predictive models and production ML infrastructure that supports analytics, forecasting, and business intelligence across the organization.

You'll have significant ownership from day one, with the opportunity to grow into a technical leadership position as the ML function expands.

What You'll Be Doing

• Design, build and deploy production Machine Learning models
• Develop predictive models around player behaviour, engagement and game performance
• Own the full ML lifecycle, including feature engineering, training, tuning, deployment and retraining
• Build scalable ML pipelines using Python and AWS
• Work closely with engineers to improve existing ML infrastructure
• Research and evaluate new modelling approaches to improve prediction accuracy
• Help shape the long-term Machine Learning strategy for the business

We're Looking For

• 3+ years building and deploying production Machine Learning models
• Strong Python experience
• Experience with supervised learning models
• Hands-on experience with XGBoost and/or LightGBM
• Strong SQL and statistical analysis skills
• Experience deploying ML workloads in AWS
• Docker and containerized development experience
• Ability to operate independently in a fast-moving engineering environment

Nice to Have

• Gaming or consumer analytics experience
• ClickHouse or other OLAP databases
• TypeScript
• Optuna or other hyperparameter optimization frameworks
• Experience working with large-scale behavioural or product datasets

Why Join?

• Join one of the fastest-growing technology businesses in gaming
• Become the company's Machine Learning subject matter expert
• Work on products used by millions of players worldwide
• High ownership and direct impact on business decisions
• Fully remote working
• Clear pathway into future technical leadership
• Competitive compensation package

If you're passionate about applying Machine Learning at scale and want to build systems that influence products used by millions of users, I'd love to hear from you.

Featured Benefits

• Medical Insurance

• Vision Insurance

• Dental Insurance

• 401(k)

I'm working with a well-funded, ~45-person fintech client that's building the intelligent infrastructure layer for private credit, an asset class that today runs almost entirely on spreadsheets, PDFs, and tribal knowledge. Every deal, every filing, every covenant lives in a different format, in a different system. My client is building the platform that turns that chaos into something the whole business can query, trust, and build decisions on top of. Think Bloomberg terminal, but for private credit.

They're now hiring a Core Platform Lead to join the data platform team and report directly to the CTO. This isn't a "join the team and pick up tickets" role. You'll be sitting hand in hand with their lead engineer as a true peer and thought partner, someone who challenges the architecture and pushes back on ideas, not someone who just executes on them. The team is intentionally lean right now, and this hire is the person who fills the biggest current gap: nobody on the team has deep experience building out data ingestion from scratch.

What the role actually involves

• Owning the data ingestion and processing layer that the rest of the business runs on, from raw, messy, heterogeneous financial data through to something clean and queryable
• Making first-principles calls on build vs. buy: understanding when a tool like dbt or Airflow genuinely solves the problem, and when the off-the-shelf option falls short of what the business actually needs
• Working in Rust at the core of systems where correctness and speed aren't a nice to have, they're the entire point given the financial decisions riding on this data
• Solving real data governance problems along the way: data quality, lineage, access controls, and handling of sensitive financial data
• Helping shape how the data platform evolves as the company scales, not just maintaining what already exists
• Having a genuine voice in engineering culture and process as the team grows around you

What my client is looking for

• Deep, real Rust experience. They care about tradeoffs and language fundamentals, not just syntax familiarity, and treat strong Rust ability as a signal of engineering strength more broadly
• Strong distributed systems and large-scale backend experience
• Someone who's either built large-scale ingestion pipelines or data infrastructure from scratch before, or is genuinely hungry to. You don't need to have done it at Datadog scale, but that's the kind of background that gets them excited
• A communicator who can think deeply but explain concisely. They want someone who can go toe to toe technically without turning every conversation into a lecture
• Product curiosity. You don't need to walk in already understanding finance or underwriting, but you do need to want to learn how the people using this system actually use it
• A healthy, balanced perspective on AI in engineering work. Not a skeptic, not a zealot, just someone who can help the team think clearly about where it actually helps

Comp & Location

$200k-$250k. NYC hybrid preferred for those local (the CTO likes the team in person occasionally), fully remote is genuinely fine if you're not NYC-based. Open to a fully remote setup for an exceptional candidate regardless of location in the USA.

I'm running this search personally, not handing it off, so if this sounds like your kind of problem, drop me a message and I'll walk you through everything else.

Senior Manager, Data Science

Location: United States – Fully remote
Type: Full-time

We’re partnering with a high-growth AI and Data technology company developing advanced software used across government, payments and the digital-asset industry.

Following a recent Series C funding round, the business reached a valuation of $1 billion and continues to expand its technology, customer base and global operations. Its platform helps specialist teams bring together complex information, identify meaningful patterns and make faster decisions in high-consequence environments.

The opportunity
You’ll lead an established team of data scientists working across applied machine learning, technically complex datasets and production-scale systems.

This is an 80/20 player-coach role. Most of your time will focus on managing, mentoring and developing the team, while remaining involved in technical reviews, modeling decisions and data workflows.

What you’ll be doing
• Leading and developing a high-performing data science team
• Guiding machine learning and modeling work across complex investigative problems
• Reviewing Python code and production data workflows
• Helping the team process and interpret very large datasets
• Partnering closely with product, engineering and intelligence teams

What we’re looking for
• +7 or more years of experience in data science or machine learning
• +4 years directly managing Data Science or Machine learning teams
• Previous hands-on experience as a data scientist or machine learning engineer
• Strong Python, modeling and production data experience
• Startup or hypergrowth company experience
• Experience with large-scale data systems
• Strong people-management and coaching skills
• A quantitative degree, with an advanced degree preferred

Experience within fraud, fintech, financial crime, risk, blockchain or another data-intensive environment would be beneficial but isn’t essential.

Experience with Airflow, BigQuery, Kafka or Snowflake are nice to haves.

Why join?
• Join a business valued at $1 billion following a recent Series C

• Build technology used across government, payments and digital assets
• Support teams responsible for investigations, intelligence, compliance and risk
• $210k–$230k base salary plus competitive equity
• Fully remote within the United States

• Lead an established data science team
• Work across machine learning, modeling and production systems

Candidates must be US-based and able to overlap with Eastern time.