Senior QA Engineer – AI & Conversational Products Job at Radancy

Senior QA Engineer (Web)

We’re seeking a Senior QA Engineer (Web) to drive end-to-end quality for our web...

Location

Serbia , Belgrade

Salary:

Not provided

Sokin

Expiration Date

Until further notice

Requirements

3–5 years of experience in QA/test automation, with strong ownership of quality outcomes in modern product teams (Senior level expectation)
Strong hands-on experience with Playwright (TypeScript), leveraging it effectively for both E2E and API testing
Proven experience building and maintaining robust automation frameworks with stable CI/CD integration (e.g., GitHub Actions, Jenkins, or equivalent)
Experience working in fintech or regulated financial services environments, understanding compliance, auditability, and release control expectations
Hands-on experience maintaining and running automated E2E tests written in TypeScript (e.g., Playwright), including code quality enforcement via linters (e.g., ESLint/Prettier) and stable CI execution
Working ability to read, debug, and contribute to test tooling and/or services written in Python and/or Go (e.g., integration harnesses, data builders, diagnostic tooling)
Strong API testing capability (REST/JSON
event-driven where relevant), including negative testing and schema/contract validation
Experience integrating automated tests into CI/CD (e.g., GitHub Actions, Jenkins, or equivalent), including reporting, gating, and triage of flaky tests
Familiarity with cloud environments (AWS or equivalent) and the practicalities of test environments

Job Responsibility

Embed quality “shift-left” practices into the delivery team: clarifying acceptance criteria, defining test strategy, and influencing design for testability and observability
Own end-to-end testing for complex web application flows across UI, API, and integrated back-end services, including happy paths, edge cases, and high-risk failure scenarios
Design, maintain, and continuously improve automated E2E and API tests written in TypeScript (Playwright), enforcing high code quality standards and consistent review practices
Maintain and improve CI/CD execution of automated suites (gating, reporting, flaky test management, parallelization, and environment stability)
Execute strong API testing practices (including contract validation where applicable), covering authentication/authorization, limits, validation rules, and error handling
Validate critical fintech workflows such as onboarding, payments, FX conversions, reconciliations, permissions, and approval flows across different user roles
Test non-functional requirements relevant to regulated web platforms: resilience, performance, monitoring/alerting behavior, auditability, and production readiness
Perform and support security-focused testing activities, including validation of access controls, session management, input validation, and common web vulnerabilities (OWASP awareness)
Partner with Product, Engineering, Compliance/Risk, and Operations to ensure controlled releases, traceable evidence, and clear go/no-go criteria
Apply AI-assisted testing pragmatically (e.g., generating test ideas and cases, log triage, exploratory support, improving test maintainability), while managing risks such as hallucinations, data leakage, and over-reliance

Senior Product Manager – Conversational AI Servicing Quality Assurance

Location

United States , McLean; Richmond; New York

Salary:

200700.00 - 249900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 5 years of experience working in Product Management
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Drive Conversational AI Integration: Own the end-to-end platform integration and roadmap execution required to successfully onboard conversational AI solutions onto our enterprise quality assurance platform
Pioneer AI QA & Feedback Loops: Support the development of advanced 'AI QA on AI' capabilities
Scale Automated Assessments: Design the systems that allow our automated QA platform to keep pace with rapid coverage expansion

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Health, financial and other benefits

Fulltime

Strong Middle / Senior Automation Test Engineer (Python)

Our client is a US-based leading national services and online solutions provider...

Location

Ukraine , Ternopil; Ivano-Frankivsk; Lviv; Kyiv; Uzhhorod; Chernivtsi; Zhytomyr; Rivne; Lutsk

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

4+ years of software quality assurance experience
Strong coding skills in Python, with the judgment to recognize test code that needs work and the skill to improve it
Experience designing automated test frameworks, not just writing tests inside someone else's framework
Proven experience testing RESTful web services and web applications in a cloud environment (Azure preferred)
Comfort working across the test pyramid — unit, integration, and end-to-end — and a clear opinion on where each layer earns its keep
Comfort reasoning about numerical correctness — tolerances, golden masters, and regression of calculated outputs, not just HTTP 200s
Working knowledge of CI/CD pipelines (Azure DevOps or similar) and a point of view on what belongs in pre-merge vs. nightly vs. release gates
Awareness of security and compliance considerations in financial software — authorization testing, dependency scanning, and careful handling of sensitive data in test environments
A habit of measuring quality — escape rate, flake rate, coverage trends — and using those numbers to drive decisions
Familiarity with Selenium WebDriver, Postman, or equivalent tools (BDD/Gherkin/Cucumber is a plus)

Job Responsibility

Strengthen and extend our automated regression framework so the team can trust the results on every nightly run — assess the current state, propose a path forward, and execute
Push testing left: when a nightly regression catches a defect, drive a unit or integration test to catch the same class of problem on the next build
Build and maintain unit, integration, and end-to-end tests across our stack — Python test framework, C# APIs running in Azure, SQL and MongoDB
Own the quality of the numbers, not just the code — build golden-master and tolerance-based tests for the financial calculations at the heart of BASIS and AtlasOne, where a basis point of drift in a projection is a defect that needs to be caught
Own the CI/CD quality gates — decide what blocks a merge, what blocks a release, and how flaky tests get quarantined rather than ignored
Treat performance as a quality attribute — stand up performance regression coverage for calc-heavy paths so we catch slowdowns the same week they're introduced, not the quarter a client notices
Close the loop with production — work alongside the team to monitor Azure alerts, logs, and traces
investigate escaped defects from production support tickets
and feed what you find back into the right test layer
Develop, document, and execute functional and regression tests across both the established BASIS desktop client and the growing web-based experience that is replacing it

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Fulltime

Senior Azure Technical Marketer and Demo Lead

Azure wins when our technical attributes show up clearly—in real customer scenar...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in product marketing/technical marketing for developer- or IT-facing products
OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in product marketing/technical marketing for developer- or IT-facing products
OR equivalent experience.

Job Responsibility

Lead the strategy and roadmap for an Azure-wide demo platform (content + tooling + repeatable patterns) that makes it easy to build, maintain, and reuse high-quality demos across teams
Establish a Demo Center of Excellence for Azure with clear intake, prioritization, quality bar, governance, and lifecycle management (build, refresh, publish, retire)
Partner with engineering and product teams to ensure demos are technically accurate, reliable, and aligned to the product roadmap and top customer scenarios
Create mechanisms that scale: templates, demo building blocks, standards, and enablement so teams across Azure can contribute while maintaining a consistent bar
Define and maintain the demo-led narrative for Azure—connecting capabilities across Developer Tools, AI, Data, Infrastructure, and Security into cohesive customer scenarios
Translate customer needs into technical use cases, story arcs, talk tracks, and demo flows that make complex concepts understandable and compelling
Ensure demos and storytelling are consistent across major moments: flagship 1P events, product launches, customer briefings, analyst engagements, digital experiences, and social/outbound content
Engage executives to understand their executive voice and priorities
translate technical truth into clear narratives and demos they can confidently use in keynotes, customer meetings, and analyst conversations
Drive cross-team alignment across multiple product groups so major moments land as one Azure story, not disconnected point solutions

Fulltime

Platform Innovation Engineer

The Platform Innovation Engineer (Early Career) is a hands-on engineering role f...

Location

United States , Rockville

Salary:

53500.00 - 70000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data, Information Systems, or a related field
Exposure to SQL, Python, or cloud, data, or automation tools
Demonstrated curiosity and interest in AI-enabled systems or modern platforms
Willingness to experiment, learn quickly, and iterate within defined boundaries
Strong communication skills and comfort engaging with technical peers, leadership, and business stakeholders

Job Responsibility

Build and test prototypes that explore how AI and automation can enhance data access, analysis, and platform workflows
Experiment with AI-assisted analytics, intelligent automation, or agent-style solutions under the guidance of the AI Architect
Validate ideas through hands-on implementation in development and QA environments
Help transform promising experiments into stable, reusable platform components that can be safely adopted by others
Assist in building tools, utilities, or services that improve how the platform is used, extended, and understood
Support the integration of AI capabilities into existing data and reporting workflows
Work across multiple technologies and layers rather than within a single tool or silo
Document what you build so solutions are transparent, repeatable, and supportable
Design and build solutions with awareness of data sensitivity, access controls, and platform boundaries
Work within role‑based access models, environments (development, QA, production), and approval flows that protect data and platform integrity

What we offer

medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

Engineering Manager

We are looking for an experienced Engineering Manager to lead three SCRUM teams ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

Proven experience managing multiple engineering teams simultaneously, navigating cross-team dependencies and balancing competing priorities
8+ years of professional software development experience with a strong Java background
Advanced English proficiency (daily meetings, stakeholder calls, and written communication)
At least 6 months of hands-on experience with AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) or direct experience managing teams that actively use them
Hands-on experience with at least one major cloud platform (AWS or Azure)
EU-timezone availability
Track record of delivering software in Agile/SCRUM environments with distributed, international teams
Solid understanding of the Java/Spring ecosystem, relational databases, and modern front-end frameworks (React)
Experience managing QA functions, including test automation strategy and quality metrics
Experience with capacity planning and delivery forecasting

Job Responsibility

Lead three SCRUM teams end-to-end: sprint planning, backlog refinement, retrospectives, and delivery commitments
Own delivery outcomes and make sure teams consistently hit sprint goals and roadmap milestones
Manage ~15-20 engineers across three teams: tech leads, senior full-stack developers, and QA automation engineers
Run regular 1:1s, performance reviews, and career development conversations
Remove blockers, manage cross-team dependencies, and escalate risks early
Work with product management to align engineering capacity with business priorities
Maintain engineering standards: code reviews, CI/CD discipline, test coverage, and release quality
Expand the use of AI coding agents across all three teams, track adoption and productivity metrics, and report results to leadership
Coordinate cross-team technical initiatives such as platform upgrades, migrations, and tech-debt reduction
Own hiring for your teams: define staffing needs, run interviews, and onboard new members

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Fulltime

Senior Product Manager, Consumer Websites

Hunter Douglas is seeking a strategic and data-driven SEO Manager with a bias to...

Location

United States , New York City

Salary:

125000.00 - 135000.00 USD / Year

Hunter Douglas

Expiration Date

Until further notice

Requirements

4–6 years of SEO experience across technical, content, and local SEO, preferably for consumer or multi-location brands
Hands-on experience with local SEO platforms like Soci or Brightedge Local
Strong understanding of customer journey SEO, including how to structure content for different intent stages
Skilled in using SEO tools: Google Search Console, GA4, SEMrush, Ahrefs, Screaming Frog, etc.
Familiarity with AI tools for SEO research, content generation, and SERP monitoring
Deep understanding of SEO performance metrics, A/B testing principles, and content optimization workflows
Collaborative mindset with experience working across product, paid media, and content teams
Bachelor's degree required

Job Responsibility

Define and own the SEO roadmap across all consumer websites, supporting both national and local objectives
Conduct keyword research to inform new content pages across key formats: educational stories, product FAQs, dealer content, and showroom discovery
Develop and maintain a journey-based SEO strategy, mapping queries to customer intent stages (e.g., brand vs non-brand, inspiration vs action)
Build out AI search optimization strategy to future-proof content and visibility (e.g., optimizing for AI Overviews, zero-click SERPs, multimodal search trends)
Optimize meta data, URL structures, internal linking, and content hierarchy across newly replatformed websites
Audit and implement structured data (schema markup) for local businesses, products, reviews, and content types
Identify and close content gaps by analyzing SERPs, competitor coverage, and user queries
Lead ethical link-building strategies based on internal content quality (e.g., outreach, press placements, or co-marketing with dealers or partners)
Monitor off-page signals and their contribution to authority and rankings
Own and optimize dealer presence in local search results (map packs, “near me” queries, location pages)

What we offer

Bonus target range: Up to 25%
Generous benefits package including medical, dental, vision, life, disability
A company culture that prioritizes internal development and professional growth
Time off with pay
401(k) plan with a degree of employer matching
Paid parental leave
Wellness programs and product discounts

Fulltime

Senior Product Manager

Ship measurable wins for retailers by combining data analysis, rapid AI-assisted...

Location

United States

Salary:

130000.00 - 175000.00 USD / Year

Bluecore

Expiration Date

Until further notice

Requirements

3+ years in product management or an adjacent technical, customer-facing role (solutions/implementation/sales engineering, technical account management, MarTech/marketing ops, developer relations) in SaaS/MarTech/ecommerce or AI/agentic domains and applications
Experience shipping workflow automation or AI-assisted features is valuable
experience shipping segmentation and activation capabilities (CDP, ESP, marketing automation, paid media/data activation) is strongly preferred
Experience with segmentation and activation (CDP, ESP, marketing automation, paid media activation, or data activation)
Hands-on data ability: SQL (BigQuery preferred) and Python scripting (pandas/NumPy) proficiency, designing and interpreting basic cohort analyses and A/B tests, and spotting instrumentation gaps
Builder bias: demonstrable prototypes you personally assembled (LLM-assisted is fine) using low-code workflow automation tools, AI-powered app builders, a basic web stack, or notebooks
Retail empathy: experience building for retailers or partnering with retail clients
clear articulation of shopper and retailer pain points
Senior presence: confident with executive and client-facing conversations, crisp narrative, clean demos

Job Responsibility

Ship agentic experiences for marketers. Define the tasks automations/agents can perform (for example: segment creation and validation, activation setup and QA, sync health checks, pause/resume safeguards), the tools they can use (MCPs, APIs, webhooks, file exports), and the approval flows. Measure impact on time to value and workflow efficiency
align with Engineering on safe execution and monitoring
Make decisions with data. Pull your own numbers, not anecdotes. Leverage existing analytic tools or directly query the warehouse datasets, build quick analyses, and turn findings into product bets and success metrics
Prototype before you spec. Use LLMs and tools (e.g., Cursor, n8n/Make, Replit, simple Python/JS, lightweight HTML) to stand up functional prototypes including audience builders and external activation setup flows that stakeholders and clients can click, not just read, and to better inform opportunity and scope
Ship the platform pieces. Define objectives, use cases, and user requirements, and partner with Engineering on technical requirements to deliver iterative solutions on time
Build and evolve activation foundations for third-party destinations (exports, paid media integrations). Define the patterns that make new channels and destinations easy to add over time (schemas/contracts, integration standards, observability, failure handling, and self-serve controls)
Instrument everything. Define KPIs, logging, and experiment design. Prove value with deltas, not vibes. Iterate and retire solutions based on measurable results
Work the retail problem. Interview key internal stakeholders (Customer Success, Support, Sales, etc.) and customers, and review (or join, as necessary) client-facing meetings to empathize and translate retail pain points into precise jobs, constraints, and success criteria
Lead in the room. Run client demos, handle objections, and translate technical detail into clear business outcomes for executives
Operationalize AI safely. Specify evaluation, guardrails, and human-in-the-loop points for any AI-driven feature

Fulltime

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Senior QA Engineer – AI & Conversational Products

Job Description

Job Responsibility

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