Sits at the intersection of software engineering, AI/ML, and platform architecture. This is a hands-on position — writing production code, architecting AI services, building internal tooling, and mentoring engineers — measured by outcomes that outlast your direct involvement, not by process ownership. <h2>What You'll Do</h2>● Design and build the AI productization patterns the team uses to ship AI/ML features — service patterns, evaluation approaches, production-readiness bar● Build reusable internal tooling: AI service scaffolding, evaluation/monitoring tooling, data infrastructure — built for team adoption, not hand-holding● Define baseline AI agent governance (permissions, execution controls, human-in-the-loop) as the team scales its AI usage● Champion AI-assisted development practices day to day — this is a “build with AI,” not “write policy about AI,” role● Establish deployment patterns (containerization, IaC, CI/CD) reusable across the team's products● Mentor engineers, with visible improvement in delivery consistency and design quality as the marker of success <h2>Required</h2>● 10+ years in software engineering / data science, with substantial recent hands-on AI/ML work● Deep Python ecosystem expertise; experience deploying models to production cloud infrastructure● Demonstrated experience building multi-tenant AI services and LLM integrations in production● Track record on microservices architecture — decomposing monoliths, defining service contracts, owning CI/CD for distributed systems● Hands-on with Docker, Terraform, and modern DevOps practice● Working knowledge of AI/LLM security fundamentals (prompt injection, data boundary enforcement)● Strong written/verbal English● Tech Stack: Python and Go <h2>Preferred</h2>● AI/ML applied in consulting, advisory, or professional-services contexts● Go or TypeScript proficiency● OSS contributions or active technical-community involvement● Experience with SOC2/ISO-aligned compliance frameworks (a plus, not central to this hire)

Tech fit interview

Technical interview

Interview with final client

Lead the design and delivery of scalable AI/ML services, internal tooling, and AI-assisted engineering practices in a hands-on role focused on building production-ready systems. This opportunity combines software engineering, platform architecture, and mentorship to shape how AI products are developed and deployed at scale.

Principal AI Engineer

<h2>About the role</h2>We apply formal methods, symbolic execution, and automated program analysis to find critical vulnerabilities in software before it ships. Our current domain is smart contracts, but the techniques are domain-agnostic and our roadmap is not limited to any single ecosystem.We are hiring a Formal Methods Engineer to work on the analysis engine and tooling behind that work: the systems that infer invariants, attack them automatically, and deliver the results to developers who will never see the machinery underneath.Prior experience with formal methods is not required. We regularly train engineers from mathematics, systems, and compilers backgrounds into this work, and we have found that mathematical maturity and curiosity predict success far better than familiarity with any particular tool.<h2>Responsibilities</h2><ol><li data-list="bullet">Design, build, and maintain the core analysis infrastructure: symbolic execution engines, solver integration, invariant inference, counterexample generation, and the pipelines that connect them.</li><li data-list="bullet">Translate techniques used manually by our research team into automated, generalizable capabilities in the product.</li><li data-list="bullet">Extend and optimize the application of symbolic execution, SMT solving, abstract interpretation, and model checking, including the performance and scalability work that determines whether these techniques are usable on real codebases.</li><li data-list="bullet">Build the front-end of the analysis pipeline: front ends for new languages, compilers, and runtime platforms as we expand into new domains.</li><li data-list="bullet">Design how results are surfaced, so that findings are actionable for developers without verification expertise.</li><li data-list="bullet">Establish the testing, benchmarking, and regression infrastructure needed to know that the analysis engine is actually correct.</li></ol><h2>Required qualifications</h2><ol><li data-list="bullet">Strong software engineering ability, with a track record of building and maintaining non-trivial production systems.</li><li data-list="bullet">Demonstrated strength in at least one of the following areas:</li><li data-list="bullet" class="ql-indent-1">Compilers and programming languages — experience with parsers, intermediate representations, type systems, interpreters, or language tooling. This background maps unusually well onto our work.</li><li data-list="bullet" class="ql-indent-1">Mathematics or theoretical computer science — logic, proofs, formal reasoning, and constructing counterexamples.</li><li data-list="bullet" class="ql-indent-1">Systems engineering — a working understanding of low-level software behavior and experience debugging complex systems.</li><li data-list="bullet" class="ql-indent-1">Other deep-tech domains where correctness is a hard requirement rather than an aspiration.</li><li data-list="bullet">Ability to reason carefully about unfamiliar systems and to state informal expectations in precise terms.</li><li data-list="bullet">Clear technical communication, both written and verbal.</li></ol><h2>Preferred qualifications</h2><ol><li data-list="bullet">Experience building developer tooling, static analysis frameworks, fuzzers, or compiler infrastructure.</li><li data-list="bullet">Exposure to verification tooling such as SMT solvers, model checkers, or proof assistants.</li><li data-list="bullet">Interest in cybersecurity, vulnerability research, or adversarial analysis, whether professional or self-directed.</li><li data-list="bullet">Performance engineering experience on workloads where search space and solver time dominate.</li><li data-list="bullet">Open-source contributions, publications, competition results, or comparable public work.</li></ol><h2>What we explicitly do not require</h2><ol><li data-list="bullet">Prior formal methods experience. Most candidates with the backgrounds above do not have it.</li><li data-list="bullet">Smart contract or blockchain experience. That is our current domain, not our identity, and the role is not tied to it.</li></ol><h2>Why this role</h2><ol><li data-list="bullet">Theory applied to practice. Real mathematics applied to real code, with real consequences when it fails.</li><li data-list="bullet">Genuinely open problems. Automatically inferring the correct invariants for an arbitrary codebase is unsolved, and the tooling is where that problem gets solved.</li><li data-list="bullet">Compounding impact. Every improvement to the engine improves every subsequent analysis, rather than fixing one bug once.</li><li data-list="bullet">Practitioner-led learning. You will learn formal methods from people who use them adversarially in production, not only in papers.</li></ol>

Behavioural Interview

where we give them a challenge and they have 3-4 days to work on it.

Take Home Challenge

they jump on a call with us, show us some project that they are proud of and walk us through it

Show and Tell Interview

its a 9-5 challenge, where we give them a problem statement and the entire day to work on it and they present the solution at the end

In-person day(it can be remote)

Formal Methods Engineer

<h2>About the Role</h2>A hands-on architecture and code-level role focused on modernizing an existing platform — legacy stack replacement, service decomposition, and standing up the engineering foundations (CI/CD, IaC) that let the team move fast without accumulating debt. <h2>What You'll Do</h2>● Drive architecture for the platform's modernization — decomposing monoliths, defining service contracts, replatforming off legacy stacks● Work hands-on at both the architecture and code level — this is not a strategy-only or governance-only seat● Partner directly with product stakeholders to sequence work and surface tradeoffs● Stand up reusable engineering practices (testing, CI/CD, deployment patterns) for the team you're embedded in● Mentor the engineers on your immediate team <h2>Required</h2>● 10+ years as a Software Engineer / Architect, with deep hands-on development experience● Proven experience standing up an architecture and driving its adoption within a team● DevSecOps fundamentals — CI/CD, IaC, modern deployment practice● A real replatforming/migration story — moving a system off a legacy stack or architecture● Strong communication skills, able to translate technical tradeoffs to non-technical stakeholders● Tech Stack: Python and Go <h2>Preferred</h2>● Experience in consulting, advisory, or enterprise SaaS contexts● OSS contributions or technical-community involvement● Demonstrated mentoring of junior/peer engineers

Lead the modernization of a platform in a hands-on Principal Engineer role focused on architecture, code, and engineering best practices. Help drive legacy migration, shape scalable systems, and mentor a growing team while partnering closely with stakeholders.

Principal Engineer

<h2>About the Role</h2>Lead engineering on replatforming a suite of proprietary tools that power large-scale data review and analysis — one of the primary builders, setting technical direction while staying close to the code, in close partnership with a Product Manager. <h2>What You'll Do</h2>● Lead architecture, infrastructure, and data-modeling decisions on the replatforming effort● Migrate an analytics tool from desktop to a modern web-based platform, including ingestion pipelines for large, varied datasets (email-style and mobile-forensic data formats)● Evolve a document-review tool from a platform-hosted experience to a standalone application with external API integrations● Establish engineering foundations from scratch — CI/CD, testing, deployment, coding standards● Partner with the Product Manager to sequence work and scope complexity● Build and grow the engineering team underneath you <h2>Required</h2>● 8–10+ years of software engineering experience, with strong platform and data-pipeline chops● Proven ability to build from scratch — founding or lead engineer on at least one greenfield product● Strong modern web application architecture — full-stack, cloud infra, APIs, data pipelines● Experience with large-scale data ingestion/processing — schema variability, dedup, transformation at scale● Comfortable ramping into a new technical domain without hands-on legal-tech background required● Startup mindset — comfortable with ambiguity, pragmatic under speed pressure Strongly Preferred (Not Gating)● Hands-on experience with Relativity, Reveal/RDM, or Cellebrite exports● Desktop-to-web migration experience● Experience in or alongside a legal-tech, eDiscovery, or compliance/investigations practice● Tech Stack: Python and Go <h2>Nice to Have</h2>● NLP/analytics techniques applied to unstructured data● Multi-tenant SaaS experience or single-tenant-to-shared-infra transitions● Chain-of-custody / data security background in litigation contexts

Technical Interview

Interview  with final client

Lead the replatforming of powerful data review and analysis tools as a hands-on Technical Lead, shaping architecture, engineering standards, and product direction from the ground up. This role offers the chance to build modern web-based platforms, work with large-scale data systems, and grow an engineering team in a fast-moving environment.

Technical Lead

<h2>What You’ll Do</h2><h3>Own Organic Search </h3><ol><li data-list="bullet">Create and lead a complete SEO and AEO strategy aligned with pipeline growth, revenue objectives, and brand-awareness targets.</li><li data-list="bullet">Discover opportunities to improve visibility for high-intent searches tied to ecommerce fulfillment, logistics technology, distributed fulfillment, and third-party logistics.</li><li data-list="bullet">Manage a balanced approach across branded, non-branded, commercial, and informational search opportunities.</li><li data-list="bullet">Track shifts in search behavior, search-engine algorithm updates, and AI-driven discovery platforms.</li><li data-list="bullet">Define organic-search objectives, benchmarks, and performance projections.</li></ol> <h3>Lead Technical SEO</h3><ol><li data-list="bullet">Perform ongoing technical audits and prioritize enhancements according to potential business impact.</li><li data-list="bullet">Oversee technical SEO for the Webflow website, including site architecture, internal linking, redirects, indexing, canonicals, XML sitemaps, and structured data.</li><li data-list="bullet">Track crawlability, Core Web Vitals, page performance, mobile usability, and overall website health.</li><li data-list="bullet">Assist with website launches, redesign initiatives, migrations, and URL-structure updates.</li><li data-list="bullet">Collaborate with developers and Webflow resources to diagnose issues and implement technical enhancements.</li><li data-list="bullet">Uphold SEO best practices while preserving website usability, brand consistency, and conversion performance.</li></ol><h3>Build and Optimize Content</h3><ol><li data-list="bullet">Create a search-driven content roadmap informed by customer needs, competitive gaps, and revenue potential.</li><li data-list="bullet">Develop keyword strategies and comprehensive content briefs for landing pages, industry pages, solution pages, blog articles, guides, and additional resources.</li><li data-list="bullet">Enhance existing content to improve rankings, engagement, conversions, and visibility within AI-generated responses.</li><li data-list="bullet">Suggest new pages and content clusters that reinforce topical authority.</li><li data-list="bullet">Ensure content features a clear structure, practical answers, credible supporting details, and suitable schema markup.</li><li data-list="bullet">Partner with subject-matter experts to transform fulfillment expertise and customer insights into differentiated content.</li><li data-list="bullet">Establish AEO best practices for Reddit and review platforms (G2, TrustPilot, SourceForge) to track and improve visibility and sentiment.</li><li data-list="bullet">Oversee content syndication partnerships and republishing processes (canonical tagging, attribution) to broaden reach while maintaining SEO value and topical authority.</li><li data-list="bullet">Enhance YouTube and podcast content for keyword alignment, schema markup, and discoverability across search and answer engines.</li></ol><h3>Advance AEO and AI Search Visibility</h3><ol><li data-list="bullet">Create strategies that strengthen visibility in AI Overviews, answer engines, and generative search experiences.</li><li data-list="bullet">Refine content for direct answers, featured snippets, entity recognition, citations, and conversational search queries.</li><li data-list="bullet">Monitor the appearance and competitors across emerging AI-powered search platforms.</li><li data-list="bullet">Support the development of consistent messaging and authoritative signals across website and digital channels.</li><li data-list="bullet">Assess new tools and methodologies for measuring visibility beyond traditional search rankings.</li></ol><h3>Measure Business Impact</h3><ol><li data-list="bullet">Develop reporting that clearly ties organic visibility and website traffic to qualified leads, pipeline growth, and revenue.</li><li data-list="bullet">Track rankings, impressions, click-through rates, conversions, and assisted-conversion metrics.</li><li data-list="bullet">Leverage GA4, Google Search Console, HubSpot, Salesforce, and related tools to evaluate performance.</li><li data-list="bullet">Convert complex data into concise recommendations for marketing leadership and executives.</li><li data-list="bullet">Identify performance fluctuations early and determine whether they stem from technical issues, content gaps, competitor activity, or evolving search behavior.</li><li data-list="bullet">Develop testing plans and document the results of SEO and website enhancements.</li></ol><h3>Collaborate Across the Business</h3><ol><li data-list="bullet">Work closely with content, product marketing, demand generation, design, and sales teams to integrate SEO into campaigns and content creation.</li><li data-list="bullet">Oversee relationships with freelancers, agencies, or technical partners when needed.</li><li data-list="bullet">Guide internal stakeholders on SEO and AEO best practices.</li><li data-list="bullet">Deliver clear requirements, priorities, and quality assurance for website updates.</li><li data-list="bullet">Represent the needs of search users while supporting positioning and business objectives.</li></ol><h2>What We’re Looking For</h2><ol><li data-list="bullet">5+ years of experience overseeing SEO programs, ideally within a B2B, SaaS, technology, logistics, or high-consideration business.</li><li data-list="bullet">Proven success increasing qualified organic traffic, conversions, pipeline, or revenue.</li><li data-list="bullet">Hands-on experience managing SEO for websites developed in Webflow.</li><li data-list="bullet">Deep understanding of technical SEO, site architecture, indexing, redirects, canonicalization, structured data, and Core Web Vitals.</li><li data-list="bullet">Experience creating keyword strategies, content roadmaps, content briefs, and on-page optimization plans.</li><li data-list="bullet">Knowledge of AEO, generative search, AI Overviews, and changing search behaviors.</li><li data-list="bullet">Experience using Google Search Console, GA4, and other SEO/AEO tools (like Gauge) is a plus.</li><li data-list="bullet">Experience linking organic-search performance with CRM and marketing-automation data.</li><li data-list="bullet">Strong analytical abilities with the capability to translate data into clear priorities and recommendations.</li><li data-list="bullet">Outstanding writing, editing, communication, and project-management abilities.</li><li data-list="bullet">Ability to operate strategically while remaining hands-on in a fast-paced environment.</li></ol><h2>Nice to Have</h2><ol><li data-list="bullet">Experience using HubSpot and Salesforce.</li><li data-list="bullet">Experience with Gauge.</li><li data-list="bullet">Familiarity with Looker Studio or similar data-visualization platforms.</li><li data-list="bullet">Experience implementing or validating schema markup.</li><li data-list="bullet">Working knowledge of HTML, CSS, and JavaScript in relation to technical SEO.</li><li data-list="bullet">Experience handling large-scale content updates.</li><li data-list="bullet">Knowledge of ecommerce, fulfillment, supply chain, or logistics technology.</li><li data-list="bullet">Experience optimizing content for AI-powered search and tracking brand visibility across answer engines.</li></ol><h2>What Success Looks Like</h2>In this role, you will:<ol><li data-list="bullet">Boost visibility for high-value, non-branded search terms.</li><li data-list="bullet">Increase qualified organic traffic and conversions.</li><li data-list="bullet">Enhance authority across key fulfillment topics.</li><li data-list="bullet">Improve technical website health and organic conversion performance.</li><li data-list="bullet">Grow visibility across traditional and AI-powered search experiences.</li><li data-list="bullet">Create a clear connection between organic-search investments, pipeline growth, and revenue.</li></ol>

Interview with Head of Marketing

Interview with Content Marketing Specialist

Interview with Design team

Final Interview 

Lead SEO and AEO initiatives to grow organic visibility, traffic, and revenue across traditional and AI-powered search experiences. This role combines technical SEO, content strategy, and data-driven optimization to strengthen search performance and brand authority in a fast-paced digital environment.

SEO & AEO Specialist

<h2>Who will love this job</h2><ol><li data-list="bullet">A Product-Minded Engineer – You don't just write code; you understand the end-user experience and can make thoughtful, directionally correct technical decisions aligned with product vision.</li><li data-list="bullet">A Data-Experience Builder – You are energized by crafting crisp, responsive, data-rich applications and internal tools using modern TypeScript and frontend/backend patterns.</li><li data-list="bullet">A Pragmatic Innovator – You actively leverage AI-assisted development (such as agentic coding workflows) to streamline your day-to-day work, increase throughput, and spend more time solving high-leverage problems.</li><li data-list="bullet">A Quality Champion – You care deeply about engineering standards, strong automated test coverage, and building durable software that stands the test of time.</li></ol><h2>What you’ll do</h2><ol><li data-list="bullet">Implement net-new functionality into the core Analytics platform to drive strategic company priorities.</li><li data-list="bullet">Maintain and optimize existing Analytics products, ensuring high availability, performance, and UI responsiveness.</li><li data-list="bullet">Partner daily with Data Experience engineers, Product Managers, Product Designers, and members of the Data Platform team to take features from ideation to production.</li><li data-list="bullet">Write robust automated tests, contribute to code reviews, and help raise the technical baseline across the codebase.</li><li data-list="bullet">Work fluently with agentic coding assistants and modern AI developer tools to ship features faster and improve developer ergonomics.</li></ol><h2>You should have</h2><ol><li data-list="bullet">6+ years of experience shipping production-grade TypeScript and React applications.</li><li data-list="bullet">1+ years of hands-on experience building data-rich applications or dashboards where performance, UI responsiveness, and state management matter.</li><li data-list="bullet">Experience with Duckdb, a plus</li><li data-list="bullet">Proven track record of delivering clean, maintainable code backed by high levels of automated test coverage.</li><li data-list="bullet">Comfort and proficiency using AI-assisted/agentic coding tools in your daily development workflow.</li><li data-list="bullet">Excellent communication and cross-functional collaboration skills in a remote, distributed environment.</li></ol>

HR Screening

Coder Pad Interview

 Screening with the hiring manager

* 2 hour technical / coding interview    * 1 hour system design

Virtual Panel - Systems Design Exercise

Join a team building responsive, data-rich analytics products and internal tools using modern TypeScript and React. This role is ideal for a product-minded engineer who enjoys collaborating across teams, leveraging AI-assisted development tools, and creating high-quality software with a strong focus on performance and user experience.

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