• Own value engineering across the full sales lifecycle, from early-stage value framing through late-stage deal support and post-live value validation • Build CFO-grade ROI models quantifying impact across cost reduction, productivity gains, revenue uplift, and customer experience improvements • Lead executive value discovery sessions and workshops, translating qualitative business priorities into quantified financial outcomes • Partner with Account Executives on strategic deals, shaping value narratives for prioritization, pricing, competitive positioning, and expansion • Enable value-led selling by developing standardized frameworks, benchmarks, and repeatable tooling (including Parloa Value Studio) • Translate complex financial analysis into clear, compelling executive narratives that resonate with CFOs, CIOs, and business leaders • Drive post-sale value realization by validating outcomes and supporting expansion through proven impact • Capture and operationalize field learnings into scalable GTM playbooks, value frameworks, and industry-specific benchmarks

• Design and develop multi-step, tool-using agentic systems • Own agent engineering decisions and drive technical direction • Collaborate with team to drive product quality and performance • Establish team standards and mentorship

Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Senior+ level: 4+ years of hands-on experience working on AI/ML or conversational AI projects — ideally in fintech, telecom, or retail - Proven experience with prompt engineering: writing and iterating prompts for LLMs for real product use cases - Experience designing end-to-end conversational flows for chatbots or AI agents, including: - Intent recognition - Dialogue trees - Fallback handling - Consumer copywriting - Experience with prompt testing / QA and AI Observability tools (LangSmith, etc) - Experience with prompt iterating and evals (prompt engineering + test cases + human-in-the-loop) - Nice to have: - Background in UX Design or UX Research - strong plus! - AI Voice experience - Background in business process analysis: ability to translate complex workflows into clear, structured dialogue scenarios Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts - Based on this analysis, design scripts and prompts for AI agents to automate these processes - Create training and test data sets - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy - Fully remote across Europe - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply

Role Description We are seeking an experienced Senior AWS Engineer to join our Professional Services delivery team on a permanent basis. This is a hands-on, customer-facing delivery role within a consultancy environment - not an internal platform engineering position. - Design and build secure, well-architected AWS environments. - Lead the migration of customer workloads into AWS. - Deliver Landing Zone deployments, enterprise migration and estate-separation programmes. - Contribute to pre-sales scoping and effort estimation. Key Responsibilities - Design and build AWS Landing Zones and multi-account environments using Control Tower and Infrastructure as Code (CloudFormation and/or Terraform / CDK). - Lead and deliver enterprise migration and estate-separation programmes - migrating servers and workloads into AWS using AWS MGN and related tooling, across structured migration waves. - Migrate databases as part of infrastructure migrations to AWS - for example, moving on-premises MS SQL Server to Amazon RDS - using appropriate migration tooling and cutover approaches. - Design and implement AWS networking for migrations - Transit Gateway, VPN, hybrid connectivity - and deploy application platforms into the target environment. - Support live migration waves and cutovers in production, including planned out-of-hours activity where required. - Contribute to Well-Architected Reviews, security hardening, DR enablement and cost optimisation across customer estates. - Work directly with customer technical stakeholders as a trusted, credible engineer in a consultancy setting. - Collaborate with Solution Architects to translate designs into buildable solutions, and with Project Managers to deliver within SOW scope, timeline and budget. - Participate in pre-sales activities: solution scoping, effort estimation and input into Statements of Work and proposals. - Produce clear technical documentation - architecture diagrams, build guides, runbooks and handover material. - Mentor junior engineers and contribute to internal knowledge sharing and capability building. Qualifications - Demonstrable hands-on AWS engineering experience delivered within a Professional Services, consultancy or Managed Services environment. - Strong core AWS: compute, networking, storage, security and identity (EC2, VPC, S3, IAM, RDS, Lambda, CloudFront, CloudWatch and related services). - Proven experience delivering AWS migration programmes for external customers, including migrating servers and workloads into AWS. - Experience migrating databases as part of an infrastructure migration to AWS (e.g. on-premises MS SQL Server to Amazon RDS). - Proven experience building and provisioning infrastructure using Infrastructure as Code (CloudFormation and/or Terraform). - Experience designing and implementing AWS Landing Zones and multi-account governance. - Experience with architecture design work and the ability to estimate effort for consultancy engagements. - Confident working alongside Project Managers and Solution Architects within structured, SOW-driven delivery teams. - Excellent communication skills, comfortable in customer-facing delivery environments. - Based in the UK with the right to work; able to travel to customer sites and Cloud Bridge offices as needed. Desirable Experience - Experience using AI tools to support and accelerate delivery work (e.g. Kiro, Claude Code, Amazon Q, GitHub Copilot). - Exposure to delivering AI / data solutions for customers (e.g. GenAI / Amazon Bedrock use cases, data platforms and analytics). - Container platform experience (ECS, EKS) and CI/CD pipeline delivery. - DR enablement using AWS Elastic Disaster Recovery; enterprise identity integration. - Familiarity with security vendors (Palo Alto, Fortinet, CrowdStrike, SentinelOne). - Experience with AWS partner funding programmes (e.g. MAP, Well-Architected). - AWS certifications - Solutions Architect Associate / Professional, or equivalent. Personal Attributes - Pragmatic, delivery-focused and comfortable operating within fixed-scope engagements. - Strong attention to detail when executing build and migration activities. - Collaborative team player who works well within architect-led delivery teams. - Consultative mindset - able to build customer trust and communicate technical concepts to non-technical stakeholders. - Curious and efficiency-minded - continually looks for smarter, faster ways to deliver, including through AI-assisted tooling.