ABOUT YOU

We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund’s entire data and automation stack end to end — and then own it as the fund goes live.

The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.

Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.

If you’re passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

First 6 months — priorities in order

- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.

Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.

Phase 1: Build (through first close)

Deal pipeline management

- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.

- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.

Scoring and underwriting data layer

- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.

- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.

- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.

Fundraising / LP pipeline

- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.

- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.

Investor and borrower dashboards

- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.

- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.

Reliability, cost, and security of the stack

- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.

- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.

- Documented runbooks and handover-ready documentation as part of “done” — the stack must be operable by someone other than its author.

Phase 2: Operate (post-close)

- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.

- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.

Client and investor facing

This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.

Qualifications and Skills

Required

- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).

- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.

- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.

- Workflow orchestration experience (n8n, Airflow, or comparable).

- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.

- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.

- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.

- Strong written and spoken English; comfortable presenting to senior external audiences.

Preferred

- Direct exposure to private credit, lending, or fund operations.

- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).

- Experience with embeddings / semantic search and multi-model AI setups.

- Web development ability (React / TypeScript or similar) for internal tools and dashboards.

- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:

• Criminal history check
• Employment verification
• Education verification
• Credit history check

Relevance to Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

• Handling sensitive financial information and supporting fund analytics, financial models, and deal data
• Accessing confidential company data
• Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: London

About the Team

The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.

Our goals are to:

• Democratize data & intelligence for humans and agents
• Build a context layer and an AI systems layer upon our unified data & content platform
• Support Cloudflare’s critical business needs

DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare’s entire business.

Role Summary

We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets.

Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default.

Role Responsibilities

• Own the development and maintenance of agent-ready curated datasets end-to-end
• Provide analytics support and a strategic perspective to our business partners
• Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
• Review Merge Requests created by your team of humans and agents
• Take initiative to gather requirements, define, build, and maintain pipelines and metrics
• Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights

Role Requirements

• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
• Demonstrable proficiency with analytics-relevant AI-tooling
• 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders
• Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions and common table expressions (CTEs))
• 3+ years experience working in version control environments using platforms such as Gitlab or Github
• 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
• 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
• Initiative, curiosity, strong stakeholder engagement, and empathy
• Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders

Nice-to-Have Experience

• Experience and/or a keen interest in internet security, protocols, and edge-development
• Analytics experience in a fast-growing technology, SaaS, or subscription-based business
• Experience with statistical analysis programming languages (Python, R etc.)

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
• Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

• Experience with recommendation systems, ranking algorithms, or personalization at scale
• Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

• Design and build predictive customer behavior models for targeting and personalization
• Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
• Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
• Present findings to the product team and technical team leads in a clear and actionable way.
• Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
• Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
• Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

• Experience with recommendation systems, ranking algorithms, or personalization at scale
• Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

• Design and build predictive customer behavior models for targeting and personalization
• Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
• Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
• Present findings to the product team and technical team leads in a clear and actionable way.
• Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
• Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

Here at Scout Motors, we’re carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.

But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.

The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.

At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.

Join us at Scout Motors and be part of shaping the future of transportation. If you’re ready to drive change and make history, apply now!

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Collect, analyze, and interpret data related to equipment performance, TPM schedules, and maintenance KPIs.
• Develop reports and dashboards to monitor equipment reliability and maintenance compliance.
• Support planning activities for material handling equipment (FFZ), battery systems, and trailers through data-driven insights.
• Identify trends and recommend improvements to preventive maintenance strategies.
• Collaborate with maintenance and logistics teams to ensure alignment of TPM plans with production goals.
• Assist in forecasting spare parts requirements and optimizing inventory levels

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Blythewood, South Carolina.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
• Travel: Domestic and international travel required, approximately 5% of the time. Valid driver’s license required. Passport required.

What you’ll bring

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring:

• 2+ years of experience in a manufacturing or automotive environment, preferably in a Logistics Equipment Repair role.
• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Supply Chain or a related technical field. An equivalent amount of relevant work experience may be considered in lieu of a degree.
• Strong written and verbal communication skills
• Prior experience working with: Material handling equipment (forklifts/FFZ), battery systems, trailers, and preventive maintenance programs.
• Familiarity with: TPM principles, automotive manufacturing processes, safety standards, and spare parts management
• Proficiency in: Data analysis tools (Excel, Power BI), ERP systems (SAP), and maintenance planning software
• An understanding of: Equipment lifecycle management, reliability engineering concepts, and compliance requirements in industrial environments.
• Soft skills: Analytical thinking, attention to detail, problem-solving, strong communication, and ability to work collaboratively in cross-functional teams.
• Preferred Certifications:
  • Certified Maintenance & Reliability Professional (CMRP) – Focuses on maintenance and reliability best practices
  • Certified in Production and Inventory Management (CPIM) – Offered by APICS, useful for planning and inventory control
  • Lean Six Sigma (Green Belt or Black Belt) – For process improvement and efficiency
  • Total Productive Maintenance (TPM) Certification – Specialized training in TPM principles
  • OSHA Safety Certification – For compliance with workplace safety standards
  • SAP ERP Certification – If the role heavily uses SAP for maintenance planning and inventory

What you’ll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate’s skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $70,000.00 - $85,000.00

Internal Leveling Code: IC10

Notice to applicants:

• To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
• Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
• Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
• Residing in New York City: This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law.Scout Motors is committed to compliance with allapplicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.