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abra R&D is looking for a Backend Platform AI Engineer! ab ra R&D is looking for a Backend Platform Engineer to help build the next?generation Database built from scratch for AI Agents This role focuses on building the developer-facing platform around the core database engine- enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs What You’ll Do
* Design and build MCP APIs and core backend services
* Develop and maintain SDKs (Python, TypeScript, Go, Rust)
* Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
* Design clean, scalable, and ergonomic developer-facing APIs
* Own integration infrastructure (auth, streaming, event pipelines, webhooks)
* Build and optimize real-time data flows between agents, services, and the database
* Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
* Ensure reliability, observability, and performance of all external-facing systems

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for a Senior DevOps Engineer! abra R&D is looking for a DevOps Engineer who will take part in building a next-generation data and agent platform designed for real-time, AI-driven systems at scale. We are looking for a Staff Infrastructure / DevOps Engineer to own and build the production infrastructure layer across our entire platform. This role goes beyond traditional DevOps- you will design and implement infrastructure systems in code, including core services such as authentication, encryption, and internal platform tooling Our stack is primarily GCP , with plans for multi-cloud (AWS, Azure) deployment. What you’ll do:
* Design and build cloud infrastructure for DB and the AI platform (primarily GCP, expanding to AWS/Azure)
* Develop infrastructure services in code (authentication, encryption, internal platform services) using Python, Go, or TypeScript
* Own and evolve CI/CD pipelines (GitHub Actions, build systems, release pipelines)
* Implement and manage infrastructure as code (Terraform or similar)
* Design and operate Kubernetes (K8s) environments for high-scale, distributed systems
* Build and maintain observability systems (monitoring, logging, tracing, alerting)
* Ensure security best practices across infrastructure (secrets management, IAM, encryption)
* Optimize system reliability, scalability, and performance across environments
* Work closely with backend, database, and AI teams to support production workloads

abra R&D is looking for an Algorithms Engineer! abra R&D is looking for an Algorithms engineer who will take part in building the a next?generation agentic analytics platform- a real?time database optimized for AI agents at scale. The product focuses on real?time decision making, causal understanding, and time?series intelligence over large, high?dimensional data streams. This role is about building the algorithmic core of the system- the models and logic that power analytics, forecasting, and decision intelligence in production. What you’ll do:
* Design, develop, and own core algorithms for real?time analytics
* Build causal inference algorithms to model cause?effect relationships and support decision systems
* Develop time?series models for forecasting, anomaly detection, and pattern discovery on real?time data
* Perform algorithmic research: explore approaches, evaluate tradeoffs, and select optimal solutions
* Develop feature engineering and mathematical logic to improve prediction accuracy and stability
* Work with high?dimensional, large?scale, and event?driven datasets
* Define statistical and mathematical methodologies used across the analytics engine
* Integrate algorithms into production systems, with strong focus on performance and reliability
* Design experiments and evaluation frameworks to validate algorithm quality
* Collaborate closely with engineering teams to ensure models run efficiently in real?time environments

we are growing and looking for an experienced Business Development Representative (BDR) to join our talented team! Key Responsibilities:
* Develop and execute outbound initiatives using AI tools, including Claude Code and automation workflows with LLM APIs.
* Utilize sales tools such as salesforce, ZoomInfo, Sales Navigator, and Outreach to identify and engage potential clients.
* Conduct research to understand market trends and identify new business opportunities.
* Build and maintain strong relationships with prospects to drive engagement and conversion.
* Collaborate with the sales team to align strategies and share insights for continuous improvement.
* Achieve and exceed sales targets through effective outreach and follow-up strategies.

abra R&D is looking for a FullStack Engineer! abra R&D is looking for a FullStack Engineer who will take part in building a next-generation agentic analytics platform, a real-time database optimized for AI agents at scale. We are looking for a Full Stack Engineer to build user-facing products and internal tools on top of our AI and data platform. This role combines frontend, backend, and product thinking, with strong ownership over design and implementation. What you’ll do:
* Build and own end-to-end features across frontend and backend
* Develop modern web applications using React and TypeScript
* Design and implement backend services using NestJS
* Translate product and UX requirements into clean, scalable system designs
* Work closely with AI and platform teams to integrate agent-driven capabilities into products
* Build data-rich interfaces for analytics and real-time systems
* Ensure performance, reliability, and usability across the stack

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.

Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.

Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.

Design, implement, and drive SSDLC practices across the company-from security design reviews and threat modeling to proactive triaging in production.

Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.

Manage HoneyBooks bug bounty program, validating reports and coordinating response and resolution.

Own and operate our suite of AppSec tools including SAST, ASPM, and other security scanners-triaging findings, prioritizing issues, and guiding engineering toward resolution.

Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.

Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.

Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.

Promote a strong security culture across HoneyBook by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

We're looking for a Sr. Staff Product Manager who has built products from the ground up. You'll lead new AI-powered ventures within us, owning multiple bets at once - some need to be built from scratch, others are live and need to find product-market fit. Your job is to cut through ambiguity to create product clarity, build the tools and systems that let your team operate at speed, and work cross-functionally to drive each product from ideation through PMF and into growth.

Here is what were looking for in a candidate:
Operates in ambiguity and adapts to change When the problem isn't fully defined, you don't wait - you make your assumptions explicit, pressure-test them fast, and move. You catch mistakes early, adjust, and always have a point of view on what's shifting in the market and why it matters.
Goal-setting and defining success You define what winning looks like before work starts - in concrete terms, not vibes. You push back when goals are fuzzy and hold the line when "done" starts quietly moving.
Tradeoff judgment You make hard calls and own them. You know you can't have everything, and you're clear about what you're trading away and why.
AI-driven velocity You build tools and workflows that embed your thinking - your goals, your logic, your standards - so your team can make good decisions without waiting on you. The bottleneck isn't you. That's the point.
Commercial instincts You care about the business, not just the product. You think in pricing, margins, and whether what you're building makes economic sense - not just whether users love it.
Builder energy You'd rather put something rough in front of a user than write another page of specs.
Customer obsession You talk to customers constantly - not as a ritual, but because you actually want to know. You can tell a real pattern from a loud opinion.
High ownership If it's your problem, you solve it..