Clarity

Location: London (Remote); Almaty Workplace: Remote Role Overview: We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. Key Responsibilities and Skills: - Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive. - Own the Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Fully Remote: Freedom to work from anywhere in the world with flexible core working hours. - In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding. - Generous Vacation: Benefit from our comprehensive vacation policy. - Growth Opportunities: Access continuous professional development and growth support. - Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture. - Stock Options: Participate in our stock options program in this early-stage, fast-growing startup. About Clarity Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry.

Location: London Workplace: OnSite About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com http://Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship - Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. - Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. - Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. - Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. - Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale - Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. - Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. - Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. - Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate - Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). - Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase - Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit - Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ - AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). - 7–10 years building production ML/back‑end systems; 2+ years leading while coding. - Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). - Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. - LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). - Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. - Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points - DevOps wizardry; GPU/accelerator experience. - Multimodal pipelines (text + voice + screenshots). - Prior experience in contact center/CX analytics or novelty/anomaly systems. - Founder or founding engineer experience

Location: London Workplace: OnSite About Clarity Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry. We’re seeking a Product Manager to lead our Voice of the Customer (VoC) product — a core part of Clarity’s platform that turns customer feedback and conversations into actionable insights. This is a unique opportunity for someone passionate about data-driven experience design, AI analytics, and product strategy in the CX space. Role Overview As a Product Manager for Voice of the Customer, you’ll own the product vision, strategy, and roadmap for Clarity’s VoC solution. You’ll work cross-functionally with engineering, design, and AI teams to transform real-time feedback, surveys, and conversation data into intelligent insights that help businesses understand their customers at scale. You’ll define how organizations collect, interpret, and act on customer sentiment — shaping a product that bridges customer experience, analytics, and automation. Responsibilities - Own the product strategy and roadmap for Clarity’s Voice of the Customer platform. - Collaborate with design, AI, and engineering teams to deliver features that turn customer feedback into actionable intelligence. - Define KPIs, measure adoption and impact, and use data to guide product decisions. - Work closely with customers and partners to understand pain points, validate hypotheses, and translate insights into product priorities. - Partner with marketing and GTM teams to position and launch VoC capabilities effectively. - Collaborate with the AI and data science teams to enhance sentiment analysis, topic detection, and trend dashboards. - Prioritize initiatives that integrate VoC insights with other Clarity modules (Agent Assist, Inbox, Analytics). - Stay ahead of market trends and competitor offerings to ensure Clarity remains at the forefront of AI-driven CX intelligence. Requirements - 5+ years of experience in product management, ideally in CX, analytics, or SaaS platforms. - Strong understanding of Voice of the Customer, feedback systems, and customer experience analytics. - Experience working with AI/ML, NLP, or data visualization products is a strong plus. - Proven ability to turn customer insights into clear, measurable product outcomes. - Excellent communication and stakeholder management skills; comfortable aligning across technical and business teams. - Analytical mindset, with experience using data to inform prioritization and feature development. - Bachelor’s degree in business, engineering, computer science, or related field (MBA or equivalent experience preferred). Why Clarity? - Shape the future of AI-powered customer experience analytics. - Freedom to experiment, define, and scale a product that impacts thousands of users. - Competitive compensation, equity, and benefits. - Work with a collaborative, impact-driven team that values creativity, speed, and clarity in execution.

Location: Ideally London-based (Hybrid) Workplace: Hybrid Full-Stack Web Developer — React, FastAPI, Elasticsearch (AWS/GCP) About Clarity Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry. As a Full-Stack Web Developer at Clarity, you’ll own end-to-end product surfaces—from sleek React UIs to FastAPI services and Elasticsearch search/ —shipping fast, safely, and beautifully. You’re AI-native (Cursor, v0, Claude Code in your muscle memory), comfortable in both AWS and GCP, and you treat infra & DevOps as part of building great product, not an afterthought. You’ll collaborate directly with engineers, PMs, and the CTO to turn specs into production features used by brands like Grubhub, Booking, Dropbox & Uber. WHAT YOU'LL DO 50% Build — design & ship - Build responsive React (TypeScript) frontends (state mgmt, data viz, virtualized tables, forms, charts, file uploads, accessibility). - Implement FastAPI services (async I/O, Pydantic v2, background jobs, caching) with robust testing. - Design Elasticsearch models & queries - Integrate AI features (streaming responses, structured outputs, eval hooks) to accelerate prototyping and user value. 25% Scale & operate - Ship and run services on AWS and/or GCP (ECS/EKS/Lambda or Cloud Run/GKE), containerized with Docker. - Own CI/CD (GitHub Actions), IaC (Terraform), logging/metrics/tracing (OpenTelemetry, CloudWatch/Stackdriver, Grafana/Prometheus), and SLOs. - Optimize p95 latency, throughput, and cost; manage secrets, networking, VPCs, and build resilient retries/backoffs. 15% Collaborate - Work closely with design/PM on specs and UX polish; pair with back-end/ML on data contracts and APIs. - Partner with the Insights team on taxonomy/schema changes and with Data/ML on search & analytics expectations. 10% Align & showcase - Write crisp docs, PRDs/tech notes, and demo your work to execs & customers. - Contribute to on-call for your services and drive post-mortems to closure. What makes you a great fit - Owner’s mindset: you take ideas from zero → shipped → observed → iterated; you sweat details and outcomes. - AI-native builder: Cursor, v0, Claude Code (and friends) are daily drivers for rapid prototyping and refactors. - React + TypeScript mastery: component design, hooks, performance, testing (Vitest/Jest, Playwright). - FastAPI expertise: async patterns, Pydantic schemas, pagination, auth (OAuth2/OIDC), rate-limits, background jobs. - Elasticsearch fluency: mappings/analyzers (ngrams, synonyms), aggregations, filters, sorting, performance tuning. - Cloud & DevOps: solid experience on AWS and/or GCP, Docker, Terraform, GitHub Actions, monitoring/alerts. - Datastores: Postgres (SQL, migrations), Redis (caching/queues). - Quality & security: code reviews, type safety, lint/format, secrets mgmt, least-privilege IAM, basic SOC2 hygiene. - Communicates clearly with product sense; ships value weekly. PERKS AND BONUSES - Remote-first freedom & flexible hours 🏠 - Regular off-sites & monthly virtual game nights 🎉 - Unlimited vacation (minimum 20 days encouraged) 🏝️ - Learning budget for conferences, courses & books 📚 - Startup equity in a rapidly growing market 💼