The Solutions Engineering Team
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer, Auth0 Opportunity
Reporting to the Sr. Manager, Solutions Engineering, Strategic Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Enterprise Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role:

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

You might also have (not mandatory):

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with micro services, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

#LI-LSS1

#LI - Remote

P23532

Role Overview

ID.me is looking for an Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role centers on investigating account takeover (ATO) activity, analyzing fraud signals, and supporting detection efforts that protect millions of users.

We are seeking someone who goes beyond basic case handling and can analyze trends, identify patterns across multiple accounts, and leverage data to inform investigations. As an Analyst, you will work across fraud detection tools, datasets, and risk systems to uncover coordinated fraud activity and contribute to improving detection capabilities.

This role is based out of our McLean, VA office and requires full-time in-office attendance.

Responsibilities

• Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data
• Analyze patterns across multiple accounts to identify coordinated or emerging fraud trends (not just single-account reviews)
• Use SQL, Python, or similar tools to query datasets and support investigations
• Leverage fraud detection tools and risk-scoring systems to identify suspicious activity
• Execute investigations and document findings, escalating higher-risk or complex cases as needed
• Support tuning and optimization of fraud detection rules, alerts, and signal usage
• Partner with cross-functional teams to improve fraud detection coverage and data quality
• Monitor trends in ATO activity and contribute to ongoing detection strategy improvements
• Leverage AI/LLM tools to accelerate investigations, including querying data, identifying patterns, and summarizing fraud activity across accounts

Basic Qualifications

• Bachelor’s degree from an accredited institution; preferred fields include quantitative disciplines such as Economics, Computer Science, Statistics, Mathematics, or similar
• 2+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with exposure to account takeover (ATO)
• 1+ years of experience using SQL, Python, or similar tools to analyze fraud data or investigate trends
• 1+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
• 1+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
• Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows

Preferred Qualifications

• Experience working at a fintech company, technology company, or reputable financial institution
• Experience analyzing organized fraud rings or large-scale fraud patterns
• Familiarity with machine learning–driven fraud detection systems or AI-assisted analysis

Senior Fraud Investigations Analyst

Role Overview

ID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies.

We are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making.

This role is based out of our McLean, VA office and requires full-time in-office attendance.

Responsibilities

• Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity
• Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns
• Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations
• Independently own investigations from detection through resolution, including clear documentation and recommendations
• Identify gaps in detection logic and contribute to improvements in rules, models, and workflows
• Partner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality
• Act as an escalation point for high-severity or ambiguous fraud cases
• Develop and refine investigation playbooks and analytical approaches for ATO detection
• Support reporting and analysis of fraud trends, detection performance, and operational metrics
• Leverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data

Basic Qualifications

• Bachelor’s degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar
• 4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4–8 years total experience; candidates should have <10 years overall)
• 2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations
• 2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
• 2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
• Demonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)
• Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively

Preferred Qualifications

• Experience at a fintech company, technology company, or reputable financial institution 
• Strong experience analyzing organized fraud rings or large-scale ATO campaigns
• Experience influencing fraud detection logic, models, or rule systems
• Familiarity with AI/ML techniques applied to fraud detection and risk analysis
• Ability to translate analytical findings into actionable improvements for product, engineering, or risk systems

Data Scientist - Healthcare Supply Chain Risk

Location: McLean, Virginia

Work Environment: Hybrid

Role Summary:

Exiger is seeking a Data Scientist with expertise in machine learning, NLP/LLMs, and statistical modeling to support mission-critical analytics for public sector customers. This role is ideal for an individual who thrives at the intersection of data science, supply chain risk, and operational decision-making, and can apply advanced analytics to strengthen supply chain resilience, improve risk visibility, and support continuity of operations.

The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and supply chain analytics tools, working closely with AI Solutions Engineers and SCRM analysts to ensure seamless integration into customer environments. This individual will also design dashboards and visualizations, conduct large-scale data analysis across supplier networks and product flows, and present actionable insights to operational and leadership stakeholders—aligning advanced analytics with mission outcomes.

What You'll Do:

• Develop and apply machine learning (ML) and NLP/LLM models to support supply chain risk identification, supplier analysis, and operational decision-making.
• Build predictive risk models to identify and prioritize vulnerabilities across products, suppliers, and supply chain dependencies.
• Conduct statistical analysis on large-scale datasets (e.g., supplier data, product/SKU data, logistics and trade data) to identify anomalies, disruptions, and concentration risks.
• Design and implement risk scoring methodologies that incorporate supplier health, geographic exposure, dependency mapping, and external risk signals.
• Support scenario analysis and modeling to assess the impact of supply-side and demand-side disruptions.
• Collaborate with Forward Deployed Engineers to operationalize models within Exiger’s platform and customer workflows.
• Design and maintain dashboards, reports, and data visualizations to communicate insights to both technical and non-technical stakeholders.
• Translate complex analytical outputs into clear, mission-relevant insights for government stakeholders and operational users.
• Partner with SCRM analysts and program leadership to continuously refine models based on real-world risk signals and evolving mission priorities.

What You Need:

• Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics.
• Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics.
• Experience working with LLMs (development, fine-tuning, or applied use cases such as entity resolution, classification, or text analysis).
• Experience working with large, complex datasets, ideally related to supply chains, logistics, trade, or third-party risk.
• Familiarity with supply chain risk management (SCRM), third-party risk, or related domains (e.g., procurement, logistics, compliance, or healthcare supply chains).
• Experience building and deploying risk models or scoring frameworks in production environments.
• Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver actionable insights.
• Strong communication skills with the ability to present technical findings to non-technical, mission-oriented stakeholders.
• Ability to work cross-functionally with engineers, analysts, and program teams in a fast-paced, delivery-focused environment.
• S. citizenship

Nice to Have:

• Experience supporting public sector or government customers.
• Familiarity with healthcare supply chains, medical products, or regulated industries.
• Exposure to graph-based data models, knowledge graphs, or network analysis.
• Experience working with external data sources such as trade data, shipping/logistics data, or corporate entity data.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off.
• Industry leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.
• Focus on wellness and employee health through stipends and dedicated wellness programming.
• Purposeful career development programs with reimbursement provided for educational certifications.

#Li-Hybrid

What You'll Do

• Vulnerability Management: Triage and track inbound findings from SAST, DAST, IAST, SCA tools, and external sources (bug bounty, penetration tests). Maintain strong awareness of vulnerability trends and exploitability. Prioritize remediation using a risk-based approach, partnering directly with engineering teams.
• Secure SDLC Integration: Partner with engineering and platform leadership to embed security practices throughout the development lifecycle. Influence and evolve the AppSec tooling and automation roadmap—including emerging AI-assisted capabilities—through prototyping, evaluation, and feedback.
• Threat Modeling & Design Reviews: Lead threat modeling and participate in feature-team design reviews to ensure security best practices are applied across new features and architectural changes. Collaborate early with engineers, architects, and tech leads during design sessions to identify risks, guide secure design decisions, and embed security into system architecture.
• Code & Application Reviews: Perform deep, targeted reviews of high‑risk code paths, APIs, authentication/authorization flows, and sensitive components. Coordinate with Penetration Testers, Red Teams, and Compliance teams to ensure holistic coverage.
• AI & LLM Security: Partner with teams adopting AI and LLM-based systems—both internal tooling and production features—to ensure secure design, model and data protection, prompt/input validation, and safe integration patterns. Assess and mitigate risks related to data leakage, model behavior, supply chain concerns, and emerging AI security threats.
• Automation & Tooling: Build and maintain security automation integrated into CI/CD pipelines. Automate detection, validation, and developer‑friendly remediation workflows to improve signal quality and reduce friction.
• Developer Guidance & Training: Serve as a domain expert and partner to engineering teams. Deliver workshops, provide secure coding guidance, and help teams adopt effective security controls and testing practices.
• Cloud Application Security: Advise on application‑layer security in cloud-native environments, including identity, secrets management, network exposure, and service‑to‑service authentication.
• IoT Device & Platform Security: Provide security guidance for IoT devices and platform components, including OSS dependency risk analysis and security considerations for legacy or constrained devices.
• Security Policy & Compliance: Translate policy and compliance requirements into practical guidance for developers. Contribute to policy evolution and support audit activities as needed.
• Incident Response: Collaborate with InfoSec during security incidents and investigations. Maintain and evolve runbooks and contribute to post‑incident reviews to drive systemic improvements.

Required Skills & Experience

• 10+ years of experience in application security, software engineering, or related technical security roles (8+ acceptable for exceptionally strong candidates).
• Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent work experience
• Proficiency in at least one programming language (e.g., Python, JavaScript, C#) and ability to navigate large, complex codebases.
• Knowledge of application security best practices across both cloud and on‑prem environments, including cloud‑hosted Kubernetes and related cloud services.
• Hands‑on experience with AppSec tooling and techniques (SAST, DAST, SCA, IAST, WAF, etc.).
• Strong understanding of vulnerabilities, exploitability, and security principles (e.g., OWASP Top 10, secure design patterns).
• Experience with CI/CD pipelines and DevSecOps practices.
• Demonstrated ability to influence engineering teams and drive security outcomes without relying on authority.
• Strong analytical thinking, practical problem‑solving skills, and a balanced approach to technical risk.
• Excellent written and verbal communication skills, capable of explaining complex security issues to both technical and non‑technical audiences.
• Experience with GitHub Advanced Security (including code scanning, secret scanning, and dependency insights) is preferred.
• Familiarity with AI and LLM security concepts—such as model hardening, prompt/input validation, data protection, and the OWASP Top 10 for LLMs—is preferred.

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Focus on fun: Alarm.com places high value on our team culture. We even have a committee dedicated to hosting a stand-out holiday party, happy hours, and other fun corporate events.
• Alarm.com values working together and collaborating in person.  Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading cloud-based platform for smart security and the Internet of Things. More than 7.6 million home and business owners depend on our solutions every day to make their properties safer, smarter, and more efficient. And every day, we’re innovating new technologies in rapidly evolving spaces including AI, video analytics, facial recognition, machine learning, energy analytics, and more.  We’re seeking those who are passionate about creating change through technology and who want to make a lasting impact on the world around them. 

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Alarm.com offers competitive pay and benefits inclusive of subsidized medical plan options, an HSA with generous company contribution, a 401(k) with employer match, and paid holidays, wellness time, and vacation increasing with tenure. Paid maternity and bonding leave, company-paid disability and life insurance, FSAs, well-being resources and activities, and a casual dress work environment are also part of our outstanding total rewards package!

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services.  However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

We are seeking an AI Engineer to design, develop, and deploy scalable LLM-powered solutions leveraging AWS cloud services, Snowflake, and modern GenAI frameworks. This role focuses on building production-grade AI systems, optimizing LLM inference, and integrating enterprise data platforms with cutting-edge AI technologies.

The ideal candidate combines strong cloud engineering expertise with hands-on experience in prompt engineering, foundation models, agentic AI systems, and data pipelines within Snowflake and AWS ecosystems

Key Responsibilities

AI & Generative AI Development

• Design, develop, and deploy LLM-powered applications and agentic AI systems in production environments.
• Implement advanced prompt engineering strategies including:
• Prompt chaining and multi-turn orchestration
• Few-shot learning and in-context learning
• Chain-of-Thought (CoT) and Tree-of-Thought (ToT) prompting
• Function calling and tool use optimization
• Structured output generation (JSON, XML schemas)
• Build and optimize Retrieval-Augmented Generation (RAG) systems integrating Snowflake data with LLMs.
• Evaluate and fine-tune foundation models via AWS Bedrock or other managed AI services.
• Develop guardrails for AI systems including hallucination mitigation, grounding, and safety controls.
• Implement LLMOps best practices for model lifecycle management:
• Model versioning, deployment, and rollback strategies
• Prompt versioning and experimentation frameworks
• Monitor and observe LLM application performance using observability tools.
• Evaluation frameworks for LLM outputs

Cloud & Platform Engineering (AWS)

Architect scalable AI solutions using AWS services such as:

• Bedrock - Sagemaker – Access and fine-tune foundation models
• Lambda – Serverless LLM application deployment
• EC2 – GPU-accelerated inference and batch processing
• Step Functions – Orchestrate complex LLM workflows and agentic pipelines
• CloudWatch – Monitoring, logging, and alerting for AI systems

AI Application Development

• Build APIs and backend services to operationalize AI solutions.
• Integrate LLM/AI systems into internal applications, sales tools, or analytics platforms.
• Implement streaming and real-time inference for low-latency AI applications.
• Collaborate with stakeholders to translate use cases into production AI systems.

Required Qualifications

• 5+ years of experience in AI/ML, Software or Data engineering.
• Proficiency in Python with solid understanding of ML fundamentals
• Strong hands-on experience with AWS, APIs and microservices architecture
• Experience integrating AI solutions with data systems like Snowflake.
• Practical experience with prompt engineering
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar
• Experience with agentic frameworks (AutoGen, CrewAI, or equivalent).

Preferred Qualifications

• Experience building RAG pipelines in enterprise environments.
• Knowledge of MLOps best practices.
• Experience with vector databases and embeddings.
• Familiarity with model evaluation frameworks (e.g., LLM eval metrics).
• Experience implementing AI governance and responsible AI practices.
• Background in sales, media, marketing analytics, or enterprise data platforms (a plus). #LI-MS1

ROLE SUMMARY 

As an Engineer on the Generative & Agentic AI team, you will play a hands-on role in building, deploying, and operating AI capabilities that power Babel Street’s intelligence applications. You will work closely with senior AI leaders, product teams, and engineers to implement generative and agentic AI solutions that support investigative, analytical, and operational workflows across the platform. 

This is an execution-focused role for an engineer with strong foundations in machine learning and generative AI who is excited to work on real-world, mission-driven applications. You will contribute directly to LLM and SLM pipelines, retrieval and grounding systems, agent workflows, and AI-enabled features—while learning how to deliver AI that is safe, reliable, cost-efficient, and production-ready. 

This is a hybrid role to be based out of either our Reston, VA/Washington DC office or our Somerville MA office.

ROLE FOCUS 

This role spans three practical execution areas: 

Generative AI & Model Development 

You will help implement and operate LLM- and SLM-based systems, contributing to prompt development, fine-tuning, evaluation, and inference optimization. You will support retrieval-augmented generation (RAG) pipelines, embeddings, and grounding techniques to ensure AI outputs are accurate, explainable, and aligned with intelligence use cases. 

Agentic AI & Workflow Automation 

You will assist in building and integrating agent-based workflows that automate analytical tasks, connect platform services, and support intelligence applications. This includes implementing agent logic, tool-use patterns, and basic orchestration under the guidance of senior engineers. 

AI Engineering & Production Delivery 

You will help productionize AI capabilities using modern AI SDLC tools and practices, contributing to evaluation, testing, telemetry, and guardrails that reduce hallucinations and ensure safe behavior. You will work within established governance frameworks to ensure AI features are measurable, reliable, and cost-aware. 

KEY RESPONSIBILITIES 

• Implement and maintain LLM and SLM pipelines, including prompt engineering, inference, and evaluation. 

• Support RAG pipelines, embeddings, and retrieval systems used in intelligence applications. 

• Assist in building agent workflows that automate analytical or operational tasks. 

• Write clean, maintainable code (Python or others) to support AI services and integrations. 

• Contribute to AI evaluation, testing, and hallucination-mitigation techniques. 

• Use AI-assisted development tools (e.g., Copilot, Cursor) to improve development velocity and quality. 

• Collaborate with Product and Engineering teams to integrate AI capabilities into user-facing workflows. 

• Follow established AI governance, safety, and cost-optimization practices. 

QUALIFICATIONS 

Required 

• 5+ years of experience in software engineering, machine learning, or applied AI roles. 

• Hands-on experience working with LLMs and/or SLMs, including prompting, inference, or fine-tuning. 

• Experience building or contributing to RAG pipelines, embeddings, or retrieval systems. 

• Familiarity with agent-based systems or workflow automation (academic, professional, or open-source). 

• Strong programming skills in Python; experience with common libraries (PyTorch, TensorFlow, etc.). 

• Solid foundation in machine learning concepts (training, evaluation, overfitting, metrics). 

• Experience using or contributing to modern AI/ML tooling and workflows (ML pipelines, evaluation scripts, model serving). 

• Ability to work in a collaborative, fast-moving, mission-driven environment. 

Preferred 

• Experience applying AI to intelligence, investigative, analytical, or risk-related applications. 

• Familiarity with vector databases, graph databases, or knowledge graphs. 

EDUCATION 

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. 
Advanced degree is a plus but not required. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.