Develop and evaluate machine‑learning models for borrower repayment behavior
Apply causal inference and experimentation to measure intervention impact
Translate model predictions into decision algorithms
Partner with Product, Engineering, and Operations on payment experiences and collections strategy
Identify machine‑learning opportunities in servicing areas
Requirements
Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
The Customer Operations Lead will lead a team of Customer Operations Representatives and oversee their day-to-day work, ensuring efficient operations, streamlined processes and improved productivity.
Locations (2)
Plano, Texas, United States
Marlboro, Massachusetts, United States
Compensation
Pay range for this position is $50,000—$77,000 USD
Responsibilities
Lead, mentor and motivate a team of Customer Operations Representatives
Act as first escalation point and manage staff scheduling and time off
Supervise local operational tasks such as order processing, invoicing and case resolution
Oversee warehouse and inventory management to keep stock levels accurate and order fulfillment smooth
Manage the monthly closing procedure, supporting financial reconciliation and making sure delivered orders align with booked revenue
Implement HDL for digital signal processing of RF systems on FPGAs, and design and optimize these algorithms for Earth observation-related high-performance wireless communication and RF sensing products.
Compensation
The salary range for this role is $158,000-$223,000K, plus a competitive equity grant and comprehensive benefits package.
Responsibilities
Implement and optimize DSP algorithms on FPGAs for real-time execution
Support algorithm prototyping in Python and porting to ARM SoCs
Design, simulate, and implement DSP algorithms for RF applications (Communications, ESM, Radar, etc.)
Collaborate with RF hardware engineers on instrument bring-up, calibration routines, and system integration
Author technical documentation, design specifications, and test reports
Foundational security hire on the Security team, embedded directly with product and mobile squads to ship features that are secure by design. Will own mobile and product application security, pen testing, and security architecture controls.
Compensation
$205,000 –$256,000 + 15% bonus + equity
Responsibilities
Embed directly with mobile and product squads to threat-model, review, and harden features.
Own the mobile application security program end-to-end: secure mobile SDLC, mobile-specific code review, dependency and supply-chain controls, and developer security tooling.
Own the broader product application security program: secure-by-default patterns, API and backend security review, and paved-road tooling.
Run the pen testing program — hands-on offensive work spanning mobile (static/dynamic analysis, binary/reverse engineering) and web/API.
Architect the security controls and documentation that meet partner security requirements.
A senior consultative sales role focused on driving new revenue across software and fulfillment/services opportunities with upper mid-market and enterprise mortgage lenders.
Compensation
The base salary range for this role is expected to be $130,000 to $150,000, with estimated on-target earnings of approximately $225,000 to $250,000 through base salary and commission.
Responsibilities
Own complex sales cycles with independent mortgage banks, banks, credit unions, and other mortgage lending organizations
Build and manage your own pipeline through targeted outbound, relationship development, events, referrals, and account-based prospecting
Understand each lender's origination model, operational workflows, technology stack, pain points, and business priorities before positioning a solution
Sell across our company's technology and services portfolio, including SaaS, automation, fulfillment, and related mortgage solutions
Build credibility with senior leaders and translate our value into business outcomes around efficiency, conversion, cost, scalability, and customer experience
Build and ship live and game features across the full stack using AI coding tools, contributing to a velocity that redefines what a small engineering team can deliver.
Compensation
$178,000 –$223,000 base + equity + benefits
Responsibilities
Build and ship live and game features across the full stack using AI coding tools
Take ownership of your features end to end, from development through deployment, using AI-facilitated QA processes and tooling to maintain high engineering quality
Write clean, reliable, and performant code with a strong sense of accountability for what you ship in production
Collaborate closely with your teammates, contributing to a culture of high standards, fast iteration, and continuous learning
Lead the compliance program for privacy and security controls for EU/UK users, children, and teens across Beast Industries products.
Compensation
Base of $235K-$294K +20% bonus + equity
Responsibilities
Translate GDPR and COPPA requirements into specific, testable security controls.
Design and run recurring control tests, including sampling, evidence collection, and re-performance, across apps, websites, SDKs, analytics, advertising, and vendor integrations.
Verify age-gating, verifiable parental consent, data minimization, retention, deletion, and parental access flows for users under 13.
Own the security side of GDPR Article 32 (security of processing) and Article 25 (data protection by design and by default).
Maintain and test controls for data subject requests, records of processing, retention, and cross-border transfers.
Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies with a focus on mid-frequency alpha strategies.
Compensation
The annual base salary range for this role is $150,000-$200,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package.
Responsibilities
Develop systematic trading models across FX, commodities, fixed income, and equity markets
Alpha idea generation, backtesting, and implementation
Assist in building, maintenance, and continual improvement of production and trading environments
Evaluate new datasets for alpha potential
Improve existing strategies and portfolio optimization
Requirements
Masters or PhD in mathematics, statistics, physics or other quantitative discipline
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