Abnormal

Role Description Abnormal AI is seeking a Channel Account Manager to join our Channel Management team. This role is pivotal in supporting our sales efforts by developing and managing key relationships with channel partners across the DC, Maryland, and Virginia region. As part of a highly collaborative and detail-oriented team, you will build strong relationships with both national and regional partners. You’ll work cross-functionally with sales, marketing, and technical teams to align go-to-market strategies, drive partner engagement, and support the successful execution of joint sales efforts. Your ability to adapt to diverse stakeholder needs—from executives to technical staff—will be essential as you represent Abnormal's value in a competitive market. What you will do - Drive partner-sourced pipeline and bookings by identifying and onboarding high-impact partners, including national, regional, and MSSP channels. - Collaborate with internal channel and sales leadership to develop targeted recruitment and enablement strategies. - Create and maintain Partner Account Plans with top partners, incorporating measurable sales, marketing, and enablement objectives. - Coordinate demand generation activities with channel marketing to drive awareness and qualified leads. - Align closely with regional sales teams to connect top prospects with suitable partners, facilitating measurable pipeline growth. - Serve as a strategic liaison between Abnormal’s field leadership and partner executives, ensuring alignment and collaboration across organizations. - Conduct regular training and knowledge-sharing sessions to ensure partner teams are fully equipped to position and sell Abnormal's offerings. - Represent partner interests internally and advocate for high-quality execution of co-marketing, certification, and partner program initiatives. - Take ownership of national partner relationships and drive quarterly planning and enablement to strengthen these engagements. - Develop expertise in key areas of channel operations (e.g., deal registration, enablement programs, incentive platforms), and lead knowledge-sharing across the team. Qualifications - Proven success applying a structured channel methodology to drive measurable outcomes. - Experience working with and having a strong understanding of partner dynamics in the region. - Strong communication and presentation skills, with the ability to clearly convey complex value propositions to a variety of audiences. - Highly organized, with the ability to manage competing priorities and follow through on deliverables. - Demonstrated ability to work cross-functionally with sales engineering, marketing, business development, and customer success teams. - A proactive, solution-oriented approach, especially in dynamic or resource-constrained environments. - Viewed as a trusted collaborator and strategic partner by internal stakeholders, capable of contributing to broader business discussions beyond core channel activities. Requirements - Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. - In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. - Base salary range: $140,280 — $165,000 USD. Company Description Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Role Description Abnormal AI is seeking a Regional Sales Director to lead and scale our Channel Sales team across the western region. This role is central to driving partner-led revenue growth, new logo acquisition, and channel-sourced pipeline through a high-performing team of channel-focused sellers. As part of a highly collaborative and results-driven organization, you will: - Recruit world-class talent. - Build and execute regional channel strategies. - Cultivate executive-level relationships across our partner ecosystem—spanning national, regional, and MSSP channels. - Work cross-functionally with channel management, sales engineering, marketing, and field sales. - Lead with a channel-first mindset, coaching sellers on partner dynamics, deal registration, co-sell execution, and partner enablement. What you will do - Recruit and hire a world-class team of channel-focused sellers, on time and on budget. - Clearly articulate, manage, and enable sellers to hit all key productivity metrics. - Instill a disciplined approach to channel pipeline generation. - Develop an overall channel account strategy for the region. - Partner closely with Sales Engineering to equip channel teams with outstanding product demonstrations. - Build and strengthen relationships with key channel partners. - Effectively forecast monthly and quarterly channel revenue to executive leadership. - Develop strategic relationships with existing channel partners and drive recruitment of new high-impact partners. - Facilitate Quarterly Business Reviews with top partners and internal stakeholders. - Identify, cultivate, and close new enterprise business at executive levels through and with channel partners. - Own revenue responsibility for channel-sourced and channel-influenced new annual recurring revenue. - Serve as a voice for the partner and customer with internal teams. Qualifications - 5+ years of sales experience with a demonstrated track record of success exceeding quotas selling security, networking, and/or software solutions through or with channel partners. - 3+ years leading a channel sales team focused on growing new business and new logos via partner-led and co-sell motions. - Strong hunter mentality with direct experience managing teams responsible for building partner pipelines. - Proven ability to hold yourself and your team accountable to consistent over-achievement in a channel-driven sales environment. - Successful experience closing complex sales with multiple buying influences. - Deep understanding of channel partner dynamics, including VAR, MSSP, national partner, and distribution models. - Strong communication and presentation skills. - Familiarity with consultative, value-based sales methodologies. - Demonstrated ability to work cross-functionally with various teams. - Comfortable operating in a fast-paced, high-growth environment. Benefits - Base salary range: $198,900 — $234,000 USD. - This role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Company Description Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Role Description Abnormal Security is looking for an ambitious and growth-minded Senior Product Manager to drive innovation across our flagship product lines. As a Senior Product Manager, you are relied upon to own product definition, set initial product strategy, and build a 12‑month roadmap for one complex or multiple moderately complex product areas. You will lead cross-functional teams across Engineering, Design, Data, and GTM, and be the most knowledgeable person in the company for your product domains—trusted to represent them to leadership, GTM, and customers. This is a high-ownership, high-autonomy role for a PM who can move seamlessly between customer problems, technical and AI-focused tradeoffs, and business outcomes, while raising the bar for product quality and execution across the organization. What You Will Do - Own strategy, roadmap, and outcomes for complex product areas. - Define and evolve a 9–12 month roadmap for one or more complex, high-impact product surfaces, ensuring clear prioritization against customer value, security outcomes, and business impact. - Frame and solve high-ambiguity customer problems. - Run discovery, design partnerships, and structured feedback programs to deeply understand customer pain, synthesize insights, and translate them into crisp problem statements, product briefs, and measurable outcomes. - Lead cross-functional execution from concept to adoption. - Drive the end-to-end product lifecycle—from problem framing and PRDs to launch, instrumentation, and iteration—partnering closely with Engineering, Design, Data, Sales, and Customer Success to ship high-quality features at velocity. - Shape product strategy and GTM tactics. - Contribute to divisional strategy and GTM plans, influencing how we position the product, sequence major initiatives, and tell the value story to customers, prospects, and internal stakeholders. - Own metrics, experimentation, and continuous improvement. - Define and track KPIs for your product lines (e.g., adoption, engagement, incident reduction, revenue impact), run experiments, and use data to refine direction and inform investment decisions. - Represent your product externally and with leadership. - Serve as the domain expert for your product areas in customer calls, escalations, executive reviews, and roadmap discussions—communicating clearly, managing tradeoffs, and building trust across the organization. - Lead in an AI-native way of working. - Use AI tools (e.g., ChatGPT/Claude, v0, analytics platforms) and rapid prototyping to accelerate discovery, research, documentation, and UX exploration—raising the standard for how product work gets done at Abnormal. - (Optional, depending on role) Mentor or manage other PMs. Qualifications - 7+ years of product management experience in software, with a strong track record of owning complex product areas end-to-end in B2B SaaS or similarly technical domains. - Proven experience working on deeply technical products, collaborating closely with engineering on architecture, scalability, or AI/ML–driven features, and reasoning through technical tradeoffs and constraints. - Demonstrated ability to own product strategy, definition, and roadmap for a product line or multiple complex surfaces—including problem framing, opportunity sizing, prioritization, and success metrics. - Strong analytical and problem-solving skills, with comfort using data (dashboards, experiments, or SQL/analysis in partnership with Data) to inform decisions and refine product direction in ambiguous spaces. - Excellent communication and cross-functional leadership, with the ability to drive alignment across Engineering, Design, GTM, and executives, and to represent the product in high-stakes or customer-facing scenarios. - High ownership, operational excellence, and attention to detail across documentation, planning, stakeholder management, and launch execution. - A growth mindset and willingness to learn quickly in a fast-paced, AI-native environment, including integrating new tools and workflows into your day-to-day product practice. Nice-to-Have Qualifications - Experience in enterprise SaaS / B2B environments, ideally in cybersecurity, security operations, identity, posture management, or adjacent technical domains. - Prior experience working as a software engineer, data scientist, or similarly technical role, or equivalent hands-on experience with complex distributed systems or AI-driven products. - Experience with data analysis and experimentation (e.g., comfort working with analytics tools, experimentation platforms, or SQL in partnership with Analytics). - Familiarity with AI-native workflows and rapid prototyping tools (e.g., Claude/ChatGPT, v0, Figma) to speed up discovery, ideation, and validation. - Background working closely with GTM teams (Sales, Marketing, Customer Success, Support) on launches, enablement, and customer-facing messaging and demos. Benefits - Base salary range: $164,500 — $236,500 USD. - This role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Company Description Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Role Description We’re looking for a Technical Program Manager who excels at driving execution for AI-driven SaaS products. This is a unique yet exciting opportunity to join and contribute to Abnormal's Research & Development Operating System. The creation of a predictable, reliable, and standardized R&D process is crucial for Abnormal's future strategy and success. To continue thriving in business, Abnormal is developing several new products and features that use AI technologies. Technical Program Managers will provide a consistent framework and execution fabric as the foundation for delivering these products. In this role, you’ll partner closely with the Platform Infrastructure team(s) to architect, define, and execute systems that ensure programs run predictably, efficiently, and with high visibility. The ideal profile thrives in an entrepreneurial environment, handling competing priorities and ambiguity with confidence. You have a growth mindset and are a quick and keen learner. - Project / Program Management & Organization: Excellent project manager with delivering large, cross-functional, complex projects. Able to take complex technical requirements and translate them into program plans. - Exceptional communicator: Able to effectively collaborate with both technical and non-technical stakeholders in both written and verbal form. - Works well in ambiguity: Ability to be a kickstarter, especially in this initial engine-building phase. - Ownership: Goal-oriented with an ownership mentality. Ability to self-organize, pull in resources with clear expectations, and drive successful outcomes. - Continuous improvement: Committed to personal and professional growth, with a constant desire to improve, create value, and make your team better. Growth mindset and grit will be key traits to success. - Technical Capabilities: Leverage a technical background to support engineering in technical design and gain credibility. Responsibilities - Translate complex technical requirements from Product Engineering, Platform and Infrastructure Engineering, ML Engineering, and other critical stakeholders into program plans with clearly defined milestones, owners, and deadlines. - Drive programs and manage project schedules by determining dependencies across project teams, proactively addressing risks, and reporting progress to stakeholders to ensure on-time delivery of program deliverables. - Participate in technical strategy development and resource planning with engineering and product partners. - Build strong relationships with key stakeholders to drive alignment and progress toward shared goals. - Design, establish, and iterate on best practices and repeatable processes for operational excellence, including incident management and leading post-mortems. Qualifications - 1-3 years of professional experience in Technical Program or Project Management. - 1-3 years of experience supporting software engineering teams. - A Bachelor's degree in Engineering or a closely related discipline. - Experience with product lifecycle management and product operations best practices. - Experience working with SaaS products like Jira and an understanding of SQL. - Experience working in iterative, fast-paced weekly release environments, leveraging agile and scrum processes for planning, execution, and delivery. - Capable of translating and communicating highly technical requirements in a pragmatic way that focuses on customer or business impact. - Curiosity for AI-first security products and a desire to influence how they reach customers successfully. Compensation Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $110,900 — $159,500 USD. Equal Opportunity Employer Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

About the Role Abnormal AI is seeking a seasoned sales leader to oversee and grow a team within our Enterprise Sales organization. You will be responsible for building and leading a high-performing team of Enterprise sellers focused on landing and expanding strategic accounts. You will serve as the regional sales leader, setting the vision, driving execution, and enabling your team to succeed through disciplined process, collaboration, and strong go-to-market alignment. The ideal candidate for this role will be based in the {Insert Region} and bring the following skillset: - Team builder and talent magnet with a track record of hiring, onboarding, and developing high-performing enterprise sellers on time and within budget. - Metrics-driven leader skilled at defining, tracking, and managing seller productivity KPIs and aligning them with revenue milestones. - Pipeline architect experienced in building robust pipelines by activating all demand channels: AE prospecting, SDRs, marketing, partners, and customer advocates. - Strategic seller who partners with sellers on account planning, opportunity strategy, and C-level engagement to drive consistent execution across the region. - Pre-sales collaborator adept at working with Sales Engineering to deliver tailored, compelling demos and scalable proof-of-concept processes. - Customer expansion champion focused on delivering value realization, retention, and upsell growth through trusted executive relationships. - Forecasting expert with a disciplined, methodical approach to pipeline inspection and forecasting — grounded in frameworks like MEDDICC. - Channel strategist who knows how to build, activate, and grow partnerships to complement direct sales and expand market reach. - Performance optimizer who runs crisp, actionable QBRs to evaluate sales performance, measure progress, and drive continuous improvement. - Hands-on closer with the ability to engage and close complex enterprise deals at the CISO/CIO/CTO level, leading from the front when needed. What you will do - Recruit and hire a world class team of enterprise sellers, on time and on budget - Clearly articulate, manage and enable enterprise sellers to hit all key productivity metrics and milestones of growth - Instill a disciplined approach to pipeline generation leveraging all available resources including field sales, marketing, channel partners, and sales development to accelerate new business. - Develop an overall account strategy for the region resulting in strong execution and collaborative team selling. - Partner closely with Sales Engineering to deliver outstanding product demonstrations and a repeatable technology validation / proof-of-concept program. - Build a strong partnership with existing customers that focuses on value realization and customer retention delivered through high renewal rates, rapid upsell expansion, and customer referrals. - Effectively forecast monthly/ quarterly revenue to executive leadership through disciplined deal inspection and forecast methodology. - Develop strategic relationships with existing channel partners and the development of new channel partners. - Facilitate Quarterly Business Reviews to measure sales productivity, plan execution, and progress against strategic objectives. - Identify, cultivate, and close new business at executive levels (CISO/CIO/CTO) in enterprise accounts within the designated territory. Must Haves - 10+ years of Enterprise Sales experience with a demonstrated track record of success exceeding sales quotas selling security, networking and/or software solutions - 3+ years leading a sales team focused on growing new business and new logos - Strong hunter mentality: direct experience managing teams responsible for creating new demand, new customer acquisition, and sourcing new pipeline - A winner, someone who holds themselves accountable to consistent over-achievement - Successful experience closing complex Enterprise sales with multiple buying influences in new or emerging solution categories. - Experience managing and closing deals of $200K+ as well high value transactions above $1m+ - Experience establishing and fostering strong relationships with potential partners and customers at executive levels - Strong presentation and communications skills, competent translating technical features into business value - Familiarity and experience using consultative, value-based sales methodologies (Force Management, Challenger Sale, MEDDIC, etc.) - Outstanding verbal, written, and presentation skills - Comfortable working in a highly fast-paced environment #LI-OB1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $144,500—$170,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

About You - Enterprise Account Hunter: Demonstrated 7+ years of direct (vs. overlay) enterprise experience prospecting, closing new logos, and growing major accounts against incumbents. - Skill in negotiating with large organizations and closing complex sales. - Proven performer with consistent over quota performance and/or top 5% of sales org - Technically competent: Conversant in key areas: security, email, cloud, AI, etc. - Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel - Start-up experience: Success at a company that was early stage, underdog, or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.) - BS/BA degree or equivalent work experience In this job, you will bring these skills - Ability to hunt: disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into enterprise accounts with the ability to leverage/ balance five pillars of demand generation: AE prospecting, SDR, Marketing, Channel, and Customer referrals. - Good qualifier: Ability to uncover/discover customer problems and pains. - Good presenter: ability to present and demonstrate value based on customer pain points. - Disciplined in sales methodology/time management: Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality - Ability to develop and present a business case to a customer showing high ROI across different dimensions to multiple stakeholders - Ability to extract, document and organize lessons, knowledge and information about customers - Ability to guide internal stakeholders through their own internal buying processes - Grit; ability to find success in an early-stage environment without all the resources/teams available to much larger organizations - Good understanding of how to leverage other departments including Sales Engineering, Marketing, BDRs, Product and Customer Success. Role Responsibilities - Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota - Work enterprise accounts (2k+ mailbox organizations) from initial conversations through signing a contract and up-selling once they’re a customer. - Prospect and generate new business opportunities with enterprise accounts (2k+ mailbox organizations) to supply enough pipeline for them to hit sales targets. - Work with Customer success to ensure a timely renewal and expansion sale opportunities - Be a voice for the customer/prospect with internal teams, including Sales Engineering/POV team, Product, and Marketing, to ensure appropriate prioritization to close more revenue. #LI-LB2 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $144,500—$170,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

About the Role Abnormal AI is seeking exceptional sales professionals who are passionate about their craft and driven to succeed within a world-class, high-performance sales organization. As a Sales Development Representative (SDR), this individual will play a critical role in driving growth by serving as the first point of contact with prospective customers within an assigned territory. The ideal candidate will bring a strong mix of sales experience, strategic thinking, ambition, and a team-first mentality. They are results-oriented, confident, resilient in the face of rejection, and maintain a consistently positive attitude. Success in this role requires excellent organizational skills and outstanding written and verbal communication, with the ability to confidently engage senior stakeholders, including C-level executives, at mid-sized to large enterprises. The SDR must also thrive in a fast-paced, evolving environment, quickly adopt and master sales tools, and demonstrate the ability to ramp quickly. What you will do - Contact potential clients through outbound cold calls, emails, and LinkedIn - Identify client needs and suggest appropriate products/services - Proactively seek new business opportunities in the market - Qualify leads from marketing campaigns as sales opportunities - Exercise leadership, demonstrate effective sales planning, and work in a positive and motivating way with internal counterparts and external customers - Meet or exceed monthly, quarterly and yearly targets - Effectively partner and work across sales teams - Act as the subject matter expert on Abnormal Security product offering Must Haves - College graduate - 0-1 year previous experience as a Sales Development or Business Development Representative OR related internship experience - Demonstrated ability to collaborate with a distributed sales team - Capability of understanding customer pain points, requirements and correlating potential business to value - Strong, professional communication skills -- written, verbal, presentation - Aptitude to manage numerous requests and time demands concurrently, while achieving production goals from assigned territory or set of accounts - Drive, Grit, Team Oriented: strong desire to compete and win Nice to Have - Experience with any of the following tools: - Orum - Outreach - Regie AI - Salesforce - SeamlessAi - Zoominfo #LI-EM3 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $24.34—$28.61 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

About You As an email security analyst on the team, you are responsible for being this front line of defense. You are highly motivated to understand what attackers are doing and to stop them in their tracks. You are someone who proactively investigates threats, maintains detailed documentation of your findings, and uses data-driven insights to understand complex cybersecurity challenges. - You’re motivated to stop email attackers and understand cybersecurity attack modes - You like to dive into the nitty gritty of complex systems, understand them, and analyze their behavior. When a system output is unexpected, you investigate thoroughly, digging in until the root cause is identified. - You are a clear communicator. You can write reports understandable by those within and outside the company to effectively explain highly technical issues. - You have a habit of meticulously documenting your investigations, maintaining comprehensive notes that can be used for future reference and team learning - You approach technical challenges with a hypothesis-driven mindset, systematically uncovering connections and correlations in complex systems - When tasks are assigned, they are completed correctly and on time or help is asked for quickly. Can largely handle FR tasks with some oversight. Learning team process and culture. Lots of Coaching, mentorship, and direction required to be successful. Scope and scale: Within a task In this job, you will bring these skills - 6+ months working in the cybersecurity, email, or anti-abuse spam field - Ability to perform standardized data analysis procedures using SQL and/or Python, effectively following established runbook methodologies and debugging analysis workflows as needed - Ability to leverage AI-powered analytical tools in both established workflows and ad-hoc investigations to increase impact - Experience in technical writing that effectively communicates complex issues Role Responsibilities and Deliverables - Resolve customer misclassification escalations, including priority issues, with accuracy and in a timely manner, escalating when additional support is required. - Communicate clearly and proactively with internal teams when responding to customer issues, helping ensure consistent and transparent updates. - Build expertise in rule- and heuristic-based email attack analysis and containment, applying established investigation and response methodologies to individual attack instances. - Understand how our message system works for handling customer escalations and general attack containment, and contribute to documenting workflows or steps as needed. - Develop reliability as a team member, demonstrating understanding of assigned tasks, asking clarifying questions, and completing work on time and to spec with moderate oversight. - Handle core attack analysis and containment tasks with guidance, increasing independence as knowledge and experience grow. - Assist in resolving higher-priority customer misclassification escalations by following documented procedures and learning from senior team members’ approaches. - Participate in investigations to identify root causes behind misclassification issues, reviewing audit logs and system interactions with support from more experienced teammates. - Analyze data using internal and external tools, including AI-based tools, to enhance investigative capabilities, applying them primarily under direction or within well-defined workflows. - Support threat-hunting activities by leveraging internal and external data and intelligence sources under guidance to help identify hidden or emerging threats and potential misclassifications. #LI-AA1 Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

About the team The Dev Accelerator team builds and operates our internal developer platform: the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely. We own: - Developer CLI tooling – a “Prompt-to-Product” style CLI that scaffolds services end-to-end, environment/credentials tooling, and a wide range of internal developer scripts. - Monorepo build, lint, and CI infrastructure, including our core backend CI workflow, Bazel integration, and a custom linting framework and rule set used across the codebase. - Go ecosystem stewardship for a large suite of shared libraries and applications under our main Go module. - Python shared libraries & frameworks for core business logic, gRPC helpers, utilities, and standardized component libraries (datastores, messaging, web, etc.). - Engineering effectiveness & test infrastructure, including automated canary analysis, test data and coverage tooling, bad test dashboards, dependency analysis, and “broken main” automation. Our goal is to make the easy path the right path for product teams and AI agents building on the platform. About the role As a Senior Software Engineer, Dev Accelerator, you will: - Design and evolve the internal developer platform that underpins virtually all backend development. - Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure. - Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive. - Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents. You’ll operate as a senior IC, leading multi-quarter initiatives and collaborating with product teams, infrastructure, SRE, and Security. What you’ll do - Build and evolve developer CLI tooling - Extend our primary developer CLI to scaffold new component types and services end-to-end (service manifests, container/build configs, deployment charts, build files, API definitions, starter code, alerts, runbooks). - Improve environment and credentials tooling to make local development setup fast and reliable. - Own core CI/CD and linting infrastructure - Design and maintain the backend CI workflow used by backend services. - Evolve linting, formatting, and typing tools to enforce architectural and code-quality guardrails across the monorepo. - Debug and fix CI issues that block engineers, and proactively reduce flakiness and runtime. - Steward shared Go and Python ecosystems - Own key shared Go libraries (auth, caching, clients, configuration, cryptography, logging, metrics, domain/realm, server, etc.) and their usage across many applications. - Maintain and evolve Python shared libraries and frameworks in our core libraries, gRPC helpers, utilities, and standardized components. - Strengthen test and release safety - Extend automated canary analysis with new metric types, backtesting, and safer defaults. - Build and improve test automation tooling, bad-test detection dashboards, and dependency-analysis utilities to keep main green and tests reliable. - Contribute to automation that classifies CI failures and summarizes them for engineers (including LLM-assisted workflows). - Drive platform-level design and abstractions - Design abstractions that balance simplicity for product engineers with enough power for advanced use cases. - Collaborate with PM/TPM, infrastructure, and product teams to scope and deliver multi-team initiatives (e.g., prompt-to-product workflows, typing and linting initiatives, test automation). Required technical skills Languages & frameworks - Strong experience with Python 3.x: - CLI development (e.g., Click or similar). - YAML/Jinja2-style templating. - Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns). - Testing with pytest or similar. - Solid experience with Go: - Shared library and service development (gRPC/HTTP). - CLI patterns (e.g., Cobra/Viper or equivalents). - Testing with Go testing frameworks (e.g., Ginkgo/Gomega or the standard library). Protocols & APIs - Protobuf/gRPC: - Schema design and evolution. - Cross-language client/server generation and integration. Build systems & infrastructure - Bazel in a large monorepo: - BUILD rules and dependency management. - Working with code generation for APIs and clients. - Containers & orchestration: - Docker image builds. - Kubernetes concepts (Helm-style values, service deployments, readiness/liveness/health checks). - Cloud infrastructure (AWS preferred): - Experience with a meaningful subset of: object storage, relational databases (e.g., Postgres), key–value/document stores, search, streaming/ingest services, Kafka, Redis, IAM. CI/CD & DevOps - Modern CI systems (e.g., Git-based CI/CD platforms): - Authoring non-trivial pipelines (matrix builds, reusable workflows, secrets/permissions). - Infrastructure-as-Code mindset: - Comfortable working with service manifests (YAML), Terraform/Terragrunt-like patterns, or internal equivalents. - Linting & static analysis: - Hands-on experience configuring and tuning linting and typing tools (e.g., pylint, ruff, mypy, golangci-lint). - Experience writing or extending custom lint rules is a strong plus. Strongly preferred - Monorepo experience - Worked in a large, shared codebase with complex dependency graphs and shared frameworks. - Familiar with dependency graph analysis and strategies to keep builds/tests fast. - Developer experience (DX) tooling - Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers. - Thoughtful about ergonomics, documentation, and guardrails. - Testing & progressive delivery - Exposure to canary analysis / progressive rollout systems (e.g., Prometheus/PromQL, Grafana, automated deployment checks). - Experience with test data management, integration/E2E test infrastructure, or bad-test detection. - Messaging & streaming - Experience with Kafka (topic design, producers/consumers, observability, error handling). - LLM/AI integration - Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs). How you work We’re looking for someone who: - Designs scalable developer abstractions - Has built tools that many engineers depend on, and can point to where those abstractions worked (or didn’t) and why. - Operates across the full platform stack - Comfortable jumping between Python CLIs, Go libraries, Bazel rules, YAML manifests, CI workflows, and Kubernetes deployments. - Reduces complexity for others - Measures success by how much simpler and safer life becomes for product engineers and AI agents using the platform. - Thinks in terms of leverage - Prefers building guardrails, automation, and self-service over manual ops work. - Writes clear documentation - Treats usage and developer documentation as part of the product surface, not an afterthought. - Collaborates across teams - Communicates clearly with product teams, infra, SRE, and security; comfortable gathering feedback via Slack, ticketing systems, and design docs and iterating quickly. If you’re excited about building the tools and infrastructure that hundreds of engineers (and AI agents) will use every day, we’d love to talk. #LI-AJ1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $179,800—$258,500 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

About the team The Dev Accelerator team builds and operates our internal developer platform: the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely. We own: - Developer CLI tooling – a “Prompt-to-Product” style CLI that scaffolds services end-to-end, environment/credentials tooling, and a wide range of internal developer scripts. - Monorepo build, lint, and CI infrastructure, including our core backend CI workflow, Bazel integration, and a custom linting framework and rule set used across the codebase. - Go ecosystem stewardship for a large suite of shared libraries and applications under our main Go module. - Python shared libraries & frameworks for core business logic, gRPC helpers, utilities, and standardized component libraries (datastores, messaging, web, etc.). - Engineering effectiveness & test infrastructure, including automated canary analysis, test data and coverage tooling, bad test dashboards, dependency analysis, and “broken main” automation. Our goal is to make the easy path the right path for product teams and AI agents building on the platform. About the role As a Software Engineer 2, Dev Accelerator, you will: - Design and evolve the internal developer platform that underpins virtually all backend development. - Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure. - Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive. - Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents. You’ll operate as an IC, leading multi-quarter initiatives and collaborating with product teams, infrastructure, SRE, and Security. What you’ll do - Build and evolve developer CLI tooling - Extend our primary developer CLI to scaffold new component types and services end-to-end (service manifests, container/build configs, deployment charts, build files, API definitions, starter code, alerts, runbooks). - Improve environment and credentials tooling to make local development setup fast and reliable. - Own core CI/CD and linting infrastructure - Design and maintain the backend CI workflow used by backend services. - Evolve linting, formatting, and typing tools to enforce architectural and code-quality guardrails across the monorepo. - Debug and fix CI issues that block engineers, and proactively reduce flakiness and runtime. - Steward shared Go and Python ecosystems - Own key shared Go libraries (auth, caching, clients, configuration, cryptography, logging, metrics, domain/realm, server, etc.) and their usage across many applications. - Maintain and evolve Python shared libraries and frameworks in our core libraries, gRPC helpers, utilities, and standardized components. - Strengthen test and release safety - Extend automated canary analysis with new metric types, backtesting, and safer defaults. - Build and improve test automation tooling, bad-test detection dashboards, and dependency-analysis utilities to keep main green and tests reliable. - Contribute to automation that classifies CI failures and summarizes them for engineers (including LLM-assisted workflows). - Drive platform-level design and abstractions - Design abstractions that balance simplicity for product engineers with enough power for advanced use cases. - Collaborate with PM/TPM, infrastructure, and product teams to scope and deliver multi-team initiatives (e.g., prompt-to-product workflows, typing and linting initiatives, test automation). Required technical skills Languages & frameworks - Strong experience with Python 3.x: - CLI development (e.g., Click or similar). - YAML/Jinja2-style templating. - Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns). - Testing with pytest or similar. - Solid experience with Go: - Shared library and service development (gRPC/HTTP). - CLI patterns (e.g., Cobra/Viper or equivalents). - Testing with Go testing frameworks (e.g., Ginkgo/Gomega or the standard library). Protocols & APIs - Protobuf/gRPC: - Schema design and evolution. - Cross-language client/server generation and integration. Build systems & infrastructure - Bazel in a large monorepo: - BUILD rules and dependency management. - Working with code generation for APIs and clients. - Containers & orchestration: - Docker image builds. - Kubernetes concepts (Helm-style values, service deployments, readiness/liveness/health checks). - Cloud infrastructure (AWS preferred): - Experience with a meaningful subset of: object storage, relational databases (e.g., Postgres), key–value/document stores, search, streaming/ingest services, Kafka, Redis, IAM. CI/CD & DevOps - Modern CI systems (e.g., Git-based CI/CD platforms): - Authoring non-trivial pipelines (matrix builds, reusable workflows, secrets/permissions). - Infrastructure-as-Code mindset: - Comfortable working with service manifests (YAML), Terraform/Terragrunt-like patterns, or internal equivalents. - Linting & static analysis: - Hands-on experience configuring and tuning linting and typing tools (e.g., pylint, ruff, mypy, golangci-lint). - Experience writing or extending custom lint rules is a strong plus. Strongly preferred - Monorepo experience - Worked in a large, shared codebase with complex dependency graphs and shared frameworks. - Familiar with dependency graph analysis and strategies to keep builds/tests fast. - Developer experience (DX) tooling - Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers. - Thoughtful about ergonomics, documentation, and guardrails. - Testing & progressive delivery - Exposure to canary analysis / progressive rollout systems (e.g., Prometheus/PromQL, Grafana, automated deployment checks). - Experience with test data management, integration/E2E test infrastructure, or bad-test detection. - Messaging & streaming - Experience with Kafka (topic design, producers/consumers, observability, error handling). - LLM/AI integration - Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs). How you work We’re looking for someone who: - Designs scalable developer abstractions - Has built tools that many engineers depend on, and can point to where those abstractions worked (or didn’t) and why. - Operates across the full platform stack - Comfortable jumping between Python CLIs, Go libraries, Bazel rules, YAML manifests, CI workflows, and Kubernetes deployments. - Reduces complexity for others - Measures success by how much simpler and safer life becomes for product engineers and AI agents using the platform. - Thinks in terms of leverage - Prefers building guardrails, automation, and self-service over manual ops work. - Writes clear documentation - Treats usage and developer documentation as part of the product surface, not an afterthought. - Collaborates across teams - Communicates clearly with product teams, infra, SRE, and security; comfortable gathering feedback via Slack, ticketing systems, and design docs and iterating quickly. If you’re excited about building the tools and infrastructure that hundreds of engineers (and AI agents) will use every day, we’d love to talk. #LI-AJ1 Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.