Web Engineering Manager Job at Closeloop Technologies

Senior Engineering Manager, Web Apps

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United Kingdom , Manchester

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, computer engineering or a related technical field, or equivalent practical experience
Extensive years of hands-on software engineering experience with the past 5+ years leading and managing technology teams
Deep understanding of the software development lifecycle with a proven ability to guide teams through design, architecture, development, testing and deployment including Node, React, Javascript, and AWS/GCP
Proven capability to make technical tradeoffs based on changing business priorities and technical roadmaps
Proven record of implementing essential software engineering practices including code review, automated testing, CI/CD pipelines and performance optimisation
Demonstrated experience hiring, training, retaining and mentoring high-performing engineering teams
History of successful stakeholder collaboration with product managers, designers and senior leadership to align technical deliverables with business objectives

Job Responsibility

Hiring quality software engineering professionals and build a high-performance team to deliver Roku's business objectives
Set clear objectives for the team and individuals that are measurable and attainable
Collaborate with stakeholders to define goals, requirements and scope for the Roku business initiatives
Provide technical guidance to the team and ensure that timely and informed decisions are made to remove project impediments
Ensure the delivery of high-quality software deliverables with rigorous validation and verification testing cycles
Manage the recruitment, onboarding and continuous training and improvement of engineering teams
Communicate project status, risks and outcomes to senior management, ensuring transparency and alignment with business objectives
Foster an environment of continuous learning in the team, including active adoption of AI tools and technologies in software engineering

What we offer

Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Support in taking time off, in accordance with local leave policies

Fulltime

Engineering manager web safety

The Applied team safely brings OpenAI's technology to the world. Our team launch...

Location

United States , San Francisco

Salary:

347000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains
Successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems
Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team
Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions
Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues
Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions

Job Responsibility

Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies
Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy
Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements
Utilize state-of-the-art models to detect and prevent problematic content effectively
Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement
Support your team's professional growth and maintain high performance through mentorship and clear career progression

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Engineering Manager II- Web/ SEO

Uber Web and SEO teams focus on the ecosystem of products that help in driving g...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Minimum 6+ years of experience as a manager
Overall 12+ years of industry experience in a variety of contexts
Prior experience building scalable, robust, and fault-tolerant systems
Ability to contribute, influence and drive Web/SEO/Measurement platform Initiatives that can serve multiple product lines using multi-tenant architectures and microservices principles
Sound understanding of building full stack solutions with Web in forefront at scale: front-end, back-end, databases, caches, network protocols, etc.
Prior experience with big data technologies is an added advantage
Comfort at jamming on complex architecture and design principles with senior engineers
Bias for action: Belief that speed and quality aren’t mutually exclusive
Mentorship/Guidance: Track record of ability to team up for success through mentoring, coaching, and reviewing
Commitment: Demonstrate tremendously about keeping the Uber experience consistent for users

Job Responsibility

Strategic partnership with product and business teams in the United States to drive deeply collaborated initiatives
Build frameworks and solutions that would apply to engineering teams in multiple LoBs, DS/AS and marketeers in distributed markets
Enable authoring of millions of web pages
Build and experiment at scale with hundreds of Web Pages
Create near real time reporting capabilities to measure impacts of tuning Web pages to constantly rank higher than its competition

Manager / Sr Manager, Engineering (AI Posture)

Location

United States , Santa Clara

Salary:

185000.00 - 298000.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5-7 years of experience managing software engineering teams within a large-scale organization
5+ years of hands-on software engineering experience with a strong systems-level foundation
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end
Demonstrated experience leading teams through the delivery of complex, data-rich web applications with a focus on performance and usability
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives

Job Responsibility

Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact
Partner closely with Product Management and cross-functional teams (Infrastructure, UX, SRE & QA) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery
Provide architectural leadership for scalable, distributed systems guiding the design and implementation of high-throughput, cloud-native applications
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security

Fulltime

Engineering Manager - Partner Solution Engineering

Adyen is seeking a Manager for the Partner Solutions Engineering team in EMEA. T...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

8+ years of direct line management experience of hybrid technical and customer-facing teams
Proven experience hiring, mentoring, and coaching top talent
Strong understanding of web development and the Software Development Life Cycle (SDLC)
Working experience with APIs and a very good understanding of programming language(s), preferably with the ability to read and troubleshoot code
Proven ability to quickly learn new technologies, understand complex systems (APIs, databases, SDKs, etc.), and a strong desire to continuously improve technical acumen
Excellent communication and presentation skills
comfortable leading technical discussions and building rapport with VP+ level engineering leaders and product managers internally and externally
Ability to establish and maintain strong, long-term technical relationships with partners at VP+ level
Ability to navigate ambiguity, manage technical stakeholders effectively, influence internal roadmaps, and make decisions by collaborating with the right people
A growth mindset with a bias toward action and strategic thinking

Job Responsibility

Lead, mentor, and coach a team of Partner Solutions Engineers, fostering their growth and ensuring their ability to successfully execute complex system integration projects
Oversee your team's efforts in acting as long-term, trusted technical contacts for partners' engineering and product teams, guiding them on Adyen's platform capabilities and integration best practices
Ensure your team provides ongoing support for technical inquiries, hands-on assistance during the implementation process, and leads troubleshooting efforts to ensure the timely delivery of solutions
Drive strategic architectural recommendations to ensure partners optimally integrate Adyen's solutions, maximizing value for their end-customers
Collaborate with internal Product and Engineering stakeholders, advocating for partner needs and influencing Adyen’s roadmap to enhance scalability and supportability for the Adyen product offering
Implement new or driving existing multi-quarter initiatives such as creating new roles, migrating tooling, or formalizing processes
Balance team needs with the needs of Adyen, ensuring clear communication internally and externally

Engineering Manager (Front End Engineering)

As a Fullstack Engineering Manager within the Platform Services group, you will ...

Location

India , Bangalore

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

10+ years of industry experience
3+ years of experience in managing engineering teams building large-scale web applications
Deep experience with a modern frontend framework (Vue, React, or Angular)
Strong TypeScript proficiency
Experience with microfrontend architecture or other large-scale frontend patterns
Working knowledge of Node.js/Express — API design, caching, and session management
Deep understanding of CI/CD, automated testing, and modern build tooling

Job Responsibility

Lead a platform infrastructure team
Manage multiple projects end-to-end
Identify risks and remove blockers
Improve engineering velocity
Contribute to a unified Design System
Enable teams to ship independently
Own the server layer
Drive platform modernization
Raise the quality bar

Fulltime

Ai Discovery + Web Personalization Product Manager (Agentic Web Lead)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
Proven ability to translate AI-driven customer experiences into clear requirements, guardrails, and scalable operating models (assistants, decisioning, retrieval, or adjacent systems)
Strong understanding of structured data (Schema.org), page semantics, content extractability, and how AI/answer systems retrieve, rank, and reference content
Strong understanding of information architecture, modular content systems, funnels, attribution considerations, and Core Web Vitals

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale
Run AI discovery, AEO (Answer Engine Optimization) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO (Search Engine Optimization), content, and engineering as answer engines change
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals
Ensure personalization platform reliability: Define SLAs, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve

Fulltime

AI Discovery + Web Personalization Product Manager (Agentic Web Lead)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, project management, or related experience OR equivalent experience.
Master's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, project management, or related experience OR Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 8+ years of marketing operations, program management, project management, or related experience OR equivalent experience.
3+ years technology/process improvement experience.

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale.
Run AI discovery (AEO - Answer Engine Optimization) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO (Search Engine Optimization), content, and engineering as answer engines change.
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals.
Ensure personalization platform reliability: Define Service Level Agreements, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics.
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops.
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable.
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes.
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve.

Fulltime

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Web Engineering Manager

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