Role Overview

We are seeking a FinOps / Expense Analyst to be the finance partner to Accounting and the business for end‑to‑end purchasing and operating expense processes. You will own day‑to‑day operations in expense management, support variance analysis and expense forecasting, and build crisp reporting packages for leadership. You will improve policy adherence, reduce “shadow spend,” and raise the signal‑to‑noise ratio in our opex so leaders can make faster, better decisions.

Key Responsibilities

• Serve as the Finance point of contact for Zip (intake/PO), Concur (T&E), and Ironclad (contracts); ensure requests flow efficiently with proper approvals and documentation.
  
  
• Partner with Accounting on month‑end close for opex: accruals, reclasses, coding hygiene, and actuals vs. forecast reconciliations.
  
  
• Build and maintain variance reporting (month‑over‑month, quarter‑to‑date, YoY) with clear drivers and recommended actions.
  
  
• Support the FP&A Expense Lead on forecasting and budget refreshes; maintain driver‑based models at cost‑center and department levels.
  
  
• Develop and deliver reporting packages and executive dashboards covering opex trends, run‑rate analyses, policy exceptions, and savings opportunities.
  
  
• Stand up spend analytics and KPI frameworks (e.g., PO cycle time, policy compliance, non‑PO spend %, T&E per head, vendor concentration) and drive remediation.
  
  
• Coordinate with Procurement/Legal on vendor diligence, contract terms, renewals, and consolidation opportunities.
  
  
• Partner with Business Systems to enhance tooling, integrations, and AI‑assisted automation (document parsing, anomaly detection, policy checks).
  
  

Qualifications

• Experience: 3–6+ years in FP&A/FinOps/Accounting with hands‑on ownership of purchasing and expense workflows.
  
  
• Tools: SQL and BI tooling experience required; strong Excel/Google Sheets; NetSuite (or similar ERP) and Salesforce exposure preferred.
• Operating rigor: Detail‑oriented, organized, and deadline‑reliable; comfortable building processes that scale.
  
  
• Business partnering: Effective at working across Accounting, Legal, RevOps, and budget owners; diplomatic but firm on policy.
  
  
• Analytics: Strength in variance analysis, forecasting, and KPI design; able to translate data into action.
  
  
• Mindset: Proactive problem‑solver who seeks automation and drives outcomes.
  
  

Why Join Turing

• Play a foundational role in shaping how financial strategy supports a category‑defining company.
  
  
• Remote‑first culture with autonomy, flexibility, and high standards.
  
  
• A seat at the table in a company redefining what’s possible with applied AI.
  
  
• Competitive compensation with meaningful equity.
  
  

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Senior Machine Learning Engineer, Foundation Models on the DriveWell Atlas team, you will help design and develop next-generation AI models that advance CMT’s capabilities in risk assessment, driver engagement, crash detection, and claims processing. This role offers the opportunity to work at the intersection of cutting-edge AI research and real-world telematics applications.

CMT is looking for a collaborative, customer-committed, and creative Senior Machine Learning Engineer, Foundation Models who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Contribute to the design, training, and deployment of novel AI models for telematics applications
• Develop algorithms that model physical phenomena associated with vehicle and human movement
• Explore and implement advanced self-supervised learning methods tailored to multi-modal telematics sensor data
• Fine-tune upstream pretrained models or leverage their embeddings to solve downstream telematics tasks such as crash detection, driver risk scoring, and claims processing
• Build models robust to noise, missing data, and diverse real-world operating conditions
• Collaborate with engineers and product teams to integrate AI models into production systems
• Develop scalable training and inference pipelines using frameworks such as Ray, PyTorch DDP, or Horovod
• Optimize models for efficient deployment across cloud and edge/mobile environments
• Stay current with AI/ML research, applying new techniques to real-world telematics challenges
• Document and present findings, contributing to CMT’s AI/ML knowledge base
• Support junior team members through code reviews, collaboration, and knowledge sharing
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
• 4+ years of relevant experience in AI/ML (post-degree)
• Strong hands-on experience developing and training deep learning models, preferably transformers for time-series or multimodal data
• Familiarity with self-supervised learning and representation learning on noisy sensor data
• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)
• Strong experience with PyTorch (preferred) or TensorFlow for deep learning
• Practical experience with distributed training methods and efficient model training
• Experience with data processing pipelines and ML infrastructure (e.g., Spark, Airflow, Docker, AWS/GCP/Azure)
• Excellent problem-solving skills and ability to translate complex business problems into AI solutions
• Strong communication skills to effectively present technical concepts to diverse audiences
• Product-focused mindset with a track record of delivering impactful ML solutions

Nice to Haves:

• Master’s or PhD preferred
• Experience with model interpretability and explainability techniques (XAI)
• Familiarity with ethical AI principles, bias detection, and mitigation strategies
• Exposure to MLOps practices for managing the ML lifecycle
• Publications or open-source contributions in AI/ML

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave and public holidays
• Employees are eligible for flexible allowances which includes Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement
• Flexible scheduling and work from home policy depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. Our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding.

Who we seek:

A highly motivated and detail-oriented R&D Operations Analyst to optimize the efficiency and productivity of our Research & Development department. You'll play a critical role in supporting R&D leadership by providing data-driven insights and managing key operational processes.

What you'll do: (Overview of the Role)

• Performance Tracking and Reporting: Develop and maintain dashboards and reports to track key R&D metrics, such as release velocity, bug resolution time, and resource utilization, presenting findings to R&D leadership.
• Process Optimization: Analyze existing R&D workflows (e.g., development lifecycle, QA process) to identify bottlenecks, propose improvements, and drive the implementation of more efficient operational processes.
• Budget and Resource Management Support: Assist the R&D leadership team in planning, tracking, and optimizing the R&D budget and resource allocation across various projects and teams.
• Subject Matter Expertise & Admin for R&D Systems: Serve as the subject matter expert (SME) and Administrator for Products and Engineering system tools (e.g., Jira, GitHub, Aha!), providing governance, optimization, and training to maximize team efficiency.
• Strategic Reporting & Board Preparation: Prepare detailed board materials and presentations summarizing R&D performance, progress against KPIs, and strategic initiatives for executive review.
• Ad-hoc Reporting and Analysis: Handle various ad-hoc reporting requests from R&D leadership, Finance, and other stakeholders, ensuring timely and accurate delivery of critical operational data.
• Tooling and Infrastructure Coordination: Act as a key liaison between R&D, IT, and Finance to ensure R&D teams have the necessary tools, licenses, and infrastructure to operate effectively.

What you'll bring: (Qualifications and Requirements)

Years of Experience: 3+ years of experience in an Operations Analyst, or Program Management role within a Software / Technology company.

Academic Education:

• Bachelor's degree in a quantitative or technical field such as Computer Science, Engineering, Business Administration, Economics, or a related field.

Important Skills or Attributes:

• Analytical & Data-Driven Mindset: Proven ability to collect, analyze, and interpret complex data sets (preferably using tools like SQL, Excel/Sheets and Looker) to derive actionable insights.
• Process Improvement Expertise: Strong understanding of software development lifecycle (SDLC) methodologies (Agile/Scrum/Kanban) and experience in implementing process improvements.
• Excellent Communication and Collaboration: Exceptional verbal and written communication skills with the ability to clearly articulate complex operational issues to technical and non-technical audiences.
• Project Management Fundamentals: Solid organizational skills, attention to detail, and experience managing multiple priorities in a fast-paced environment.
• Technical Tool Proficiency: Familiarity with R&D operational tools such as Jira/Confluence, GitHub/GitLab, and reporting/BI tools.

Advantages:

• Experience in a rapidly scaling SaaS Software startup environment.
• Familiarity with financial reporting, budgeting, and cost allocation specific to R&D departments.
• Relevant professional certifications (e.g., PMP, Lean Six Sigma, Scrum Master).
• Prior experience working in data security, privacy, or AI-related domains.