Senior Software Engineer, AI Platform and Enablement Job at Descript (San Francisco)

Senior Software Engineer, Data Platform

We are looking for a foundational member of the Data Team to enable Skydio to ma...

Location

United States , San Mateo

Salary:

180000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

5+ years of professional experience
2+ years in software engineering
2+ years in data engineering with a bias towards getting your hands dirty
Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications
Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness
Proficiency in SQL and at least one modern programming language (we use Python)
Comfort working across the full data stack — from ingestion and transformation to orchestration and visualization
Strong communication skills, with the ability to collaborate effectively across all levels and functions
Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization
Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics

Job Responsibility

Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones
Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards
Develop data systems that make our products truly data-driven — from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis
Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation
Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance
Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company
Lead and mentor data engineers, analysts, and stakeholders across Skydio
Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

Senior Software Engineer - Studio - Java, AI

As a Senior Software Engineer, you’ll build the backend that powers AI features ...

Location

United States , New York

Salary:

175000.00 - 240000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

At least 7+ years of strong proficiency in enterprise Java
Experience designing and deploying AI/ML or LLM-backed systems in production
Familiarity with LLM tooling and patterns: (e.g. tool calling, RAG pipelines and knowledge bases, evals, cost/latency tradeoffs, basic red-teaming)
Experience in supporting and running systems in a production environment
Comfortable working in a dynamic environment, partnering with cross-functional teams, and moving from prototype to reliable production

Job Responsibility

Design, implement, and productionize reliable AI workflows to augment the Studio trading platform
Build tooling to monitor, tune, and evaluate models and workflows, as well as applicable guardrails to ensure outputs meet quality and regulatory requirements
Collaborate with technical and non-technical teams across the firm to identify high ROI AI opportunities
Build rapid prototypes and translate them into production-grade systems. Utilize the latest AI-powered development tools to iterate quickly
Create reusable libraries, SDKs and tooling to enable AI development throughout the firm
Stay current on the latest in applied AI. Read papers, evaluate new models, test out new tools
Participate in code review and architecture design, manage deployments, and support and contribute to the success of the overall Studio platform

What we offer

Competitive compensation, benefits, and perks
Company equity
401k matching
Gender neutral parental leave
Full medical, dental and vision insurance
Lunch stipends
Fully stocked kitchens
Happy hours

Fulltime

Senior Engineering Manager - Support Platform

Join Intercom as a Senior Engineering Manager and lead teams at the heart of our...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience leading engineering teams building and delivering customer-facing software products
Proven ability to lead multiple teams or broad product areas, aligning work across complex domains
A hands-on leader who brings clarity, context, and energy — ready to roll up your sleeves, dive deep, and stay close to the work and your teams, not just manage from a distance
Thrives in ambiguous, fast-paced environments, providing stability, structure, and momentum
Strong product mindset and customer obsession — you think in terms of customer problems, measurable outcomes, and business impact
Comfortable being the sole directly responsible individual (DRI) for your area, taking full ownership of outcomes and stepping confidently into product-thinking shoes when needed
Outcome-driven and an unblocker by nature — you take ownership of problems, remove barriers proactively, and relentlessly drive your teams toward success. You’re energized by achieving results and seeing impact
Eager to directly work with customers, and skilled at turning customer feedback and data into actionable insights and impactful product decisions
Passionate about building high-autonomy, high-accountability teams that consistently deliver exceptional customer outcomes
This is an AI-first role with a high bar for excellence. We expect you to be fluent in using AI tools to solve problems, accelerate output, and inspire others to do the same — helping shape a culture that embraces AI as a core advantage

Job Responsibility

Own one of Intercom’s largest and most complex product areas end-to-end — setting vision, priorities, and measurable outcomes
Work directly with customers and internal functions (including Sales, GTM, and Customer Support) to deeply understand their needs and translate insights into impactful product solutions
Act as the single accountable owner for your product area — comfortable being directly responsible for roadmap, execution, and results, and not shy about stepping into product-thinking shoes when needed
Drive clarity and alignment across teams, balancing near-term delivery with long-term product strategy
Continuously raise the bar for quality, reliability, and customer experience within your teams and beyond
Partner closely with Staff and Principal Engineers to shape direction, architecture, and execution
Coach and grow engineers and emerging leaders, supporting their development and helping them deliver exceptional outcomes
Foster a culture of ownership, accountability, and autonomy, enabling your teams to move fast and deliver meaningful results
Contribute to Intercom’s engineering culture, helping evolve how we build customer-driven software across the organization

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Engineering Manager - Support Platform

Join Intercom as a Senior Engineering Manager and lead teams at the heart of our...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience leading engineering teams building and delivering customer-facing software products
Proven ability to lead multiple teams or broad product areas, aligning work across complex domains
A hands-on leader who brings clarity, context, and energy — ready to roll up your sleeves, dive deep, and stay close to the work and your teams, not just manage from a distance
Thrives in ambiguous, fast-paced environments, providing stability, structure, and momentum
Strong product mindset and customer obsession — you think in terms of customer problems, measurable outcomes, and business impact
Comfortable being the sole directly responsible individual (DRI) for your area, taking full ownership of outcomes and stepping confidently into product-thinking shoes when needed
Outcome-driven and an unblocker by nature — you take ownership of problems, remove barriers proactively, and relentlessly drive your teams toward success. You’re energized by achieving results and seeing impact
Eager to directly work with customers, and skilled at turning customer feedback and data into actionable insights and impactful product decisions
Passionate about building high-autonomy, high-accountability teams that consistently deliver exceptional customer outcomes
This is an AI-first role with a high bar for excellence. We expect you to be fluent in using AI tools to solve problems, accelerate output, and inspire others to do the same — helping shape a culture that embraces AI as a core advantage

Job Responsibility

Own one of Intercom’s largest and most complex product areas end-to-end — setting vision, priorities, and measurable outcomes
Work directly with customers and internal functions (including Sales, GTM, and Customer Support) to deeply understand their needs and translate insights into impactful product solutions
Act as the single accountable owner for your product area — comfortable being directly responsible for roadmap, execution, and results, and not shy about stepping into product-thinking shoes when needed
Drive clarity and alignment across teams, balancing near-term delivery with long-term product strategy
Continuously raise the bar for quality, reliability, and customer experience within your teams and beyond
Partner closely with Staff and Principal Engineers to shape direction, architecture, and execution
Coach and grow engineers and emerging leaders, supporting their development and helping them deliver exceptional outcomes
Foster a culture of ownership, accountability, and autonomy, enabling your teams to move fast and deliver meaningful results
Contribute to Intercom’s engineering culture, helping evolve how we build customer-driven software across the organization

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Software Engineering Manager - Developer Experience and Automation

At CVS Health, we're building a world of health around every consumer and surrou...

Location

United States

Salary:

106605.00 - 260590.00 USD / Year

CVS Health

Expiration Date

January 30, 2026

Requirements

7+ years of overall experience in Software Development, Agile Practices, Team and Project/Product Management
3+ years of overall development experience on enterprise-class applications
3+ years partnering with architecture, product, and program management teams to influence product development decisions
3+ years of experience working on projects using mature CI/CD practices, source control such as Git, and automated testing
2+ years of experience working with large public cloud technologies (e.g., GCP, AWS, Azure)
Experience in setting up and optimizing efficient data stores (RDBMS/NoSQL) for production
Experience leading teams that follow a Scrum/Agile development methodology
Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

Job Responsibility

Strategic Leadership: Drive the vision and roadmap for intelligent automation initiatives that streamline developer workflows and enhance engineering outcomes
Solution Architecture: Oversee the design and implementation of scalable, cloud-native applications using modern full-stack frameworks
AI Integration: Champion the integration of AI capabilities into automation pipelines to enable adaptive systems and data-driven decision-making
Performance Optimization: Apply DORA metrics to assess and continuously improve engineering performance, delivery velocity, and operational efficiency
Cross-Functional Collaboration: Partner with engineering, product, and platform teams to align automation strategies with organizational goals
Leading teams to design, implement, and optimize automated systems
Project management, technical leadership, strategic planning, and stakeholder collaboration
Advocate for engineering best practices, including test coverage, clean code, and security
Work closely with data scientists, software developers, and business stakeholders to translate AI research into practical, deployable solutions
Lead the prototyping and experimentation with new generative models, optimizing them for specific use cases

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
No-cost tobacco cessation programs
No-cost weight management programs
Confidential counseling
Financial coaching
Paid time off
Flexible work schedules

Fulltime

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior ML Platform Engineer

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP e...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field
or equivalent practical experience
5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps
Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs
Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation)
Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks
Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes)
Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems
Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment
Passion for AI and automation to solve real-world problems and improve operational workflows

Job Responsibility

Architect, build, own, and operate scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility
Create, support, and maintain core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability
Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale
Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability
Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to operationalize and support model development, deployment, and monitoring workflows
Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members
Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms
Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles
Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation
Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale

What we offer

equity
benefits

Fulltime

Senior Software Engineer, AI Platform and Enablement

Descript

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 09, 2026

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