Benefits:

• Medical, Dental, Vision coverage

• HSA/FSA options

• Parental Leave

• 401(k): 200% match for the first 6% contributed

• Unlimited Paid Time Off

Experience Requirements:

• 5+ years of experience in Android development using native tools.

Other Requirements:

• Expert familiarity with Kotlin and Java.

• Experience with OpenSource.

• Working knowledge of cryptographic and security principles.

• Can manage your own productivity in an asynchronous, fully remote environment.

• Willingness to learn new technologies and tools as needed, and to read and refactor code to make it better, even if it's not your own.

Responsibilities:

• Develop Android native applications using Kotlin, including leading development of features for our Identifi biometrics product.

• Maintain Reveal’s suite of ATAK plugins and integrations with our core products.

• Work closely with SDK vendors to integrate functionality.

• Provide Android expertise to the rest of the engineering team when working on Android-specific projects and issues.

• Advocate and drive user experience, security, and performance.

Benefits:

• Medical, Dental, Vision coverage

• HSA/FSA options

• Parental Leave

• 401(k): 200% match for the first 6% contributed

• Unlimited Paid Time Off

Experience Requirements:

• 5+ years of experience in full stack development, frontend focused

• Experience with Ruby on Rails, Python, and Django

• Experience with React, Angular, Tailwind, Turbo.js, and/or Javascript

• Experience with Docker and/or Kubernetes and AWS/GovCloud

• Strong grasp of database architecture (PostgreSQL, or similar); develop design schemas; build and manage relational models

Other Requirements:

• Experience with authentication/authorization best practices.

• Familiarity with scalable, sustainable architectures and modular backends.

• Experience with project mapping tools (e.g., task hierarchy engines, Gantt timelines) and project management-type tools.

• Knowledge of military doctrine, niche data, and mission sets, or working with military SMEs.

• Comfort working in fast-moving, early-stage environments.

Responsibilities:

• Collaborate with frontend tools and component libraries (e.g., React, Angular, Tailwind, shadcn/ui).

• Develop interactive tools like drag-and-drop calendars, progress dashboards, and resource planners.

• Lead the technical architecture for backend services and core infrastructure.

• Design modular components for mission command and staff management (which could include constraint-based scheduling, task mapping, workflow automation, and using artificial intelligence to assist users with a wide range of operational and non-operational tasks)

• Build and scale RESTful APIs (or GraphQL) to power training workflows and data models.

Benefits:

• Medical, Dental, Vision coverage

• HSA/FSA options

• Parental Leave

• 401(k): 200% match for the first 6% contributed

• Unlimited Paid Time Off

Education Requirements:

• Bachelor’s degree in IT, Cybersecurity, or related field, or equivalent experience.

Experience Requirements:

• 4–7 years of combined IT administration and cybersecurity experience.

• Hands-on macOS, mobile and windows management experience.

Other Requirements:

• Effective written communicator

• Practical knowledge of NIST 800-171, CMMC, ISO 27001, and basic RMF concepts.

• Familiarity with zero trust network principles, endpoint security, SIEM, and incident response workflows.

• Certifications such as Security+, CISSP, or CISM are preferred.

Responsibilities:

• Manage identity and access systems (Okta, Google Workspace).

• Support end users with workstation setup, software, connectivity, and troubleshooting.

• Maintain reliable network, VPN, and collaboration systems.

• Track assets, licenses, and SaaS configuration baselines.

• Establish and monitor backup, recovery, and endpoint protection standards.

Benefits:

• Medical, Dental, Vision coverage

• HSA/FSA options

• Parental Leave

• 401(k): 200% match for the first 6% contributed

• Unlimited Paid Time Off

Experience Requirements:

• 7+ years experience writing production code

Other Requirements:

• Expert knowledge of the Unity game engine

• Experience building complex UI using MVVM principles

• Experience working directly with low-level graphics pipelines (OpenGL, WebGL, Metal, Vulkan, etc.)

• Experience developing and deploying distributed systems using ASP.NET, gRPC, and REST APIs

• XR/VR development experience

• Experience working with Blazor

• Expert knowledge of C# and the .NET ecosystem, including multithreading, large amounts of abstraction, memory management, unit testing, and performance optimization

• Experience writing shaders (HLSL, GLSL, etc.), including demonstrable examples

• Experience with building cross-platform applications for desktop, mobile, and web using a variety of UI platforms

• Strong problem-solving skills and attention to detail

• Ability to work independently and as part of a collaborative team

Responsibilities:

• Write clean, efficient code for realtime 3D graphics applications

• Write and oversee code quality, test automation, development standards, and best practices, ensuring robust, clean, and maintainable codebases

• Write design documents for product features and application architecture

• Collaborate with cross-functional teams to implement and optimize frontend solutions

• Participate in code reviews and provide constructive feedback to team members

Experience Requirements:

• 3+ years of experience in DevOps

Other Requirements:

• Deep understanding of containerization technologies like Docker and Kubernetes

• Proficiency in infrastructure automation with tools like Terraform

• Experience with cloud platforms

• Strong scripting skills in Python and Bash

• Familiarity with ML/AI deployment practices

Responsibilities:

• Architecting and maintaining scalable, containerized environments for AI model deployment

• Implementing and managing CI/CD pipelines for seamless integration and delivery

• Automating infrastructure provisioning and configuration with IaC tools

• Screwing on the lids to keep everything fresh and secure

• Optimizing system performance and crafting robust monitoring and logging solutions

Education Requirements:

• postgraduate research in Machine Learning or related fields

Experience Requirements:

• 3+ years of work experience with postgraduate research in Machine Learning or related fields

• Comprehensive knowledge of modern deep learning architectures, parameter efficient fine-tuning, self-supervised pre-training and upcycling techniques

• Deep understanding of hardware, instruction sets and distributed systems architectures

• Experience with ONNX, TorchScript, quantization, and sparsification

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

Responsibilities:

• Optimize model deployment, scaling, and runtime performance

• Implement MLOps best practices including experiment tracking, artifact versioning and end-to-end model validation

• Work with distributed training tools, CUDA-level optimization, and understand optimizations in inference-time featurization

• Apply techniques such as micro-batching, caching, and KV-caching for transformers

Experience Requirements:

• Proven experience as a Front-end Developer

• Strong understanding of HTML, CSS, JavaScript, and modern frameworks/libraries

• Experience with responsive and adaptive design

• Familiarity with SEO best practices and structured data implementation

• Knowledge of performance optimization techniques and tools

Responsibilities:

• Develop and maintain user-facing features with a focus on performance and responsiveness

• Collaborate with designers to translate mockups into interactive experiences

• Ensure the technical feasibility of UI/UX designs

• Optimize applications for maximum speed and scalability

• Implement best practices in SEO and accessibility

Benefits:

• Offers Equity

Experience Requirements:

• Built something from scratch — a startup, project, or feature

• Some experience with the core of our stack: Next.js, AWS, etc.

Other Requirements:

• Enjoy working hard and owning projects

• Hands-on, move fast, and learn best by building

• Shown excellence

• Take asymmetric bets

Responsibilities:

• Play a key role in engineering decisions

• Work closely with the founders

• Design, build, and ship product features from end to end

• Optimize the ranking of our profile results

• Add new filters or data sources to our search engine

Benefits:

• Offers Equity

Experience Requirements:

• Built something from scratch — a startup, project, or feature

• Some experience with the core of our stack: Next.js, AWS, etc.

Other Requirements:

• Enjoy working hard and owning projects

• Hands-on, move fast, and learn best by building

• Shown excellence

• Take asymmetric bets

Responsibilities:

• Play a key role in engineering decisions

• Work closely with the founders

• Design, build, and ship product features from end to end

• Optimize the ranking of our profile results

• Add new filters or data sources to our search engine

Benefits:

• Competitive salary

• Stock Options

• Health, Dental, and Vision Insurance

• 401(k) employer match

• Unlimited PTO (mandatory 10 days per year minimum)

Experience Requirements:

• 5-8+ years of experience building and shipping user-facing products with measurable impact

• Experienced

Other Requirements:

• Full-stack expertise across Ruby on Rails, React, and TypeScript.

• Practical scripting ability in Python and/or JavaScript to extend automations when needed.

• Strong product sense and analytical rigor: you write SQL, define success metrics, and know when to pivot or double down.

• Technical mastery of marketing systems: hands-on experience with APIs and webhooks (building and troubleshooting integrations) and a proven ability to design and manage martech architecture.

• Has experience collaborating with non-technical stakeholders in marketing and operations, able to clearly articulate and translate technical issues and solutions.

• Deep understanding of marketing attribution and tracking.

Responsibilities:

• Design, build, and analyze experiments that drive adoption, retention, and expansion.

• Develop scalable personalization engines that leverage behavioral, firmographic, and product-usage signals to deliver tailored customer experiences and boost engagement and conversion.

• Lead continuous experimentation and optimization, identifying opportunities to test, refine, and scale automated GTM systems while staying ahead of emerging martech and AI trends.

• Collaborate cross-functionally to translate business goals into technical solutions, enabling rapid iteration cycles and delivering measurable impact on top-line revenue.

Benefits:

• Competitive Pay

• Flexible hours

• Ability to set own schedule

• Higher compensation

• Eligible for Medical Insurance

Experience Requirements:

• 4 + years of professional software‑engineering experience with a focus on backend systems

• Hands‑on experience with at least two of: MongoDB, Postgres/SQL, vector databases

Other Requirements:

• A passion and curiosity for cutting edge AI, you’re reading the latest blogs and posts about best practices and what the best companies are doing to push the boundaries of building agents

• Strong desire to build solutions for customers that make their life better

• Proven track record of building and operating cloud‑native microservices in Python.

• Solid understanding of system design & scale, trade‑offs, and performance tuning

• Comfortable working in a fast‑moving, early‑stage startup environment

• Attention to detail and an attitude of ownership over the product and code you produce

Responsibilities:

• Design, build, and own Python microservices that power new AI Agents to automate the ownership of Salesforce

• Create and optimize data pipelines (Prefect) and vector/NoSQL/SQL databases that feed our LLM‑based products

• Champion scalability, observability, and automated testing to keep Swantide reliable as we grow.

• Drive projects from zero to production

• Collaborate with product, design, and customer‑success teams to ship features end‑to‑end and unblock customers quickly

Education Requirements:

• Any graduate with relevant degree.

Experience Requirements:

• 4-10 Years

• Four or more years of extensive full-stack experience (MEAN or similar) and application design patterns.

• At least three years of hands-on experience with Vue.js, React, or any other technology

• At least five years of experience using python/Java.

• At least four years of experience designing and building RESTful services.

Other Requirements:

• Knowledge of three to four programming languages and paradigms.

• Strong experience developing web applications and understanding of new web technologies.

• Experience building highly available applications.

• Experience building/hosting production applications on any major cloud provider.

• Working knowledge of web service infrastructures such as DNS, load balancers, reverse proxies, CDNs, application Servers, and databases.

Responsibilities:

• Responsible for end-to-end architecture of new products – concepts, architecture, design and delivery, roll-out, and customer success.

• Architect scalable, robust, and cost-effective solutions in a cloud environment.

• Take complete ownership of the functional and non-functional requirements and in driving the technology roadmap.

• Work with technical leaders in other groups like R&D, marketing and customer service, etc., in understanding the pain points and work with the engineering leaders to address them.

• Identify applications for new technologies and lead implementation.

Experience Requirements:

• 3–5+ years of experience in data engineering, analytics engineering, or backend engineering with a data focus.

• Strong software engineering skills (Python preferred) with experience in modular pipelines and tooling.

• Advanced SQL and hands-on experience with dbt.

• Familiarity with orchestration tools (Airflow, Dagster, Prefect) and modern data warehouses (Redshift, Snowflake, BigQuery).

• Comfortable partnering cross-functionally with product, ops, and analytics.

Other Requirements:

• Prior experience building data platforms or analytics foundations in a fast-paced startup.

• Experience with CI/CD, data testing (e.g., dbt tests, Great Expectations), and data observability.

• Led or contributed to a cloud data warehouse migration (e.g., Redshift to Snowflake or BigQuery), including managing dbt model portability, cost/performance tuning, and coordination across teams.

• Previous work in the healthcare or fintech industries.

Responsibilities:

• Own and evolve Thatch’s modern data stack (Redshift, dbt, Fivetran, Dagster/Airflow, Metabase, Hex).

• Build reliable ELT pipelines to integrate internal systems and third-party APIs with strong observability and scale.

• Model core business logic (e.g., plan years, employer funding, engagement metrics) into scalable dbt models.

• Establish trust in data through monitoring, testing, and CI/CD best practices.

• Collaborate cross-functionally to support analytics, experimentation, and strategic decision-making.

Experience Requirements:

• 2+ years of experience working in a full stack engineering role.

• Familiarity of tools in the modern GTM stack (today we use Segment, Mixpanel, Braze, SFDC, Clay and others).

• Excellent analytical skills and ability to use data to find answers and inform strategy.

• Excitement about the potential of AI to make product and customer workflows smarter and more.

• Have a low ego, deep curiosity, an appetite to build, and employ good judgment in making hard trade-offs with limited resources.

Other Requirements:

• Knowledge of SQL is a plus!

• 1-2 years of experience on a Growth or Product team

• Previous experience at a fast-growing startup

• Knowledge of any of the following services: Salesforce, Contentful, Mixpanel, Segment, Metabase

Responsibilities:

• Leverage data and build the data systems to deeply understand our customers and identify areas of opportunity.

• Devise and execute projects that drive revenue, customer acquisition, activation, and engagement.

• Collaborate on product-led growth initiatives end-to-end (e.g., referral systems, funnel optimization, upsell triggers, sales handoff workflows) that can be reused across customer segments.

• Develop and maintain high-quality web applications using React, TypeScript, and other modern Develop a culture of agility and iteration, striking a balance between quick wins and scalable, long-term frameworks.

• Work side-by-side with Product, Sales, Marketing and Customer teams to translate business needs into technical solutions.

Experience Requirements:

• Experience building and maintaining websites using React, TypeScript, CSS, Tailwind, and other modern web technologies.

• Experience working cross-functionally with design and marketing teams.

• Excellent written communication and project management skills.

• A proactive, optimistic, growth-minded approach, complemented by the resilience to thrive in a fast-paced and evolving workplace.

Other Requirements:

• A background developing animations with libraries like Framer Motion.

• Proficiency in design tools like Figma, Sketch, or Adobe XD.

Responsibilities:

• Maintain and improve our public site, ensuring that it is performant and accessible.

• Work closely with our design team to implement new designs and features on our public site.

• Identify areas of improvement and drive initiatives to enhance our public site.

• Work with our marketing team to ensure that our public site is blazing fast, SEO-friendly, and accessible.

Experience Requirements:

• 4-8 Years

Other Requirements:

• Strong Python programming skills with experience in building production-grade applications.

• Experience with data engineering tools such as Pandas, PySpark, Airflow, or similar.

• Hands-on experience with LLMs (e.g., OpenAI, Hugging Face) and prompt development.

• Proficiency in designing and deploying APIs using frameworks like FastAPI or Flask REST Framework.

• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.

• Knowledge of SQL and experience with relational databases like PostgreSQL, MySQL, etc.

• Basic understanding of API security (e.g., OAuth, JWT) and scalability strategies.

• Experience with vector databases like Pinecone, Weaviate, or FAISS for LLM embeddings.

• Familiarity with MLOps tools like MLflow or Kubeflow.

• Exposure to streaming technologies such as Kafka or Spark Streaming.

• Knowledge of LLM fine-tuning techniques using frameworks like PyTorch or TensorFlow.

• Experience with monitoring tools such as Prometheus, Grafana, or Datadog.

• Strong problem-solving abilities with a proactive mindset.

• Excellent communication skills to explain technical concepts to non-technical stakeholders.

• Ability to work collaboratively in a cross-functional team.

• Passion for exploring new technologies and continuously learning.

Responsibilities:

• Build and maintain scalable data preparation pipelines using Python and relevant tools.

• Optimize data workflows to handle large datasets efficiently.

• Develop, test, and refine prompts to optimize LLM outputs for specific use cases.

• Design and deploy RESTful APIs to host LLM-based solutions.

• Collaborate with cross-functional teams to gather requirements and deliver solutions.

Experience Requirements:

• You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge

• You thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work

• You sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards

• You want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success

Responsibilities:

• Own the semantic layer for commerce agents - Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel

• End-to-end impact from pre-sale to expansion - Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities

• High-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV

• Strategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development

• Drive $1M ARR per quarter - Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementations

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Typescript, React, and Python

• User-focused design intuition and design taste

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

Responsibilities:

• prototyping and designing new features of our voice interface

• building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

• scaling the personalization of our speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Typescript, React, and Python

• User-focused design intuition and design taste

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

Responsibilities:

• prototyping and designing new features of our voice interface

• building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

• scaling the personalization of our speech models and LLMs