ai manager

Beth Israel Lahey Health

Charlestown, MA &bull; Beth Israel Lahey Health &bull; Full-time &bull; Day
<br><div><p><b>When you join the growing BILH team, you're not just taking a job, you&rsquo;re making a difference in people&rsquo;s lives.</b></p>
<p></p>
<p>The AI Program Manager is responsible for planning, coordinating, and delivering artificial intelligence (AI) initiatives across the organization. This role serves as the bridge between business stakeholders, IT, and operations teams to ensure AI programs align with enterprise strategy and governance and adhere to ethical, regulatory, and quality standards. The AI Program Manager oversees multiple AI projects, manages dependencies, mitigates risk, and drives measurable business impact from AI investments. This role also helps drive end user and clinician adoption through stakeholder and change management.</p>
<p></p>
<p><b>Job Description:</b></p><br>
<p></p>
<p><b>
Essential Duties &amp; Responsibilities including but not limited to:</b></p>
<ul>
<li><p>Lead, coordinate, and facilitate multiple AI governance bodies, steering committees, and councils</p>
</li>
</ul><ul><li><p>Prepare agendas, materials, and decision frameworks to support effective review and approval of AI initiatives</p>
</li>
</ul><ul><li><p>Support executive decision‑making through concise reporting and recommendations</p>
</li>
</ul><ul><li><p>Manage the intake, assessment, and prioritization of proposed AI use cases and solutions</p>
</li>
</ul><ul><li><p>Maintain visibility into approved, in‑flight, deferred, and rejected AI initiatives</p>
</li>
</ul><ul><li><p>Partner with physicians, nurses, pharmacists, and clinical leaders to identify use cases and define clinical value, safety criteria, and success metrics</p>
</li>
</ul><ul><li><p>Collaborate with business owners to define AI program goals, KPIs, and value realization metrics</p>
</li>
</ul><ul><li><p>Translate complex technical concepts into clear, actionable information for non‑technical stakeholders</p>
</li>
</ul><ul><li><p>Provide executive reporting on program status, ROI, risk, and outcomes</p>
</li>
</ul><ul><li><p>Partner with risk, compliance, and legal teams to ensure AI solutions meet organizational policies, patient consent and regulatory expectations</p>
</li>
</ul><ul><li><p>Enable operational adoption through change management and stakeholder engagement</p>
</li>
</ul><p><b>Minimum Qualifications:</b></p>
<p><b>
Education:</b></p>
<ul>
<li><p>Bachelor's degree in Information Systems, Health Informatics, Data Science, Public Health, or related field</p>
</li>
</ul><p>Licensure, Certification &amp; Registration:</p><br>
<p></p>
<p><b>
Experience:</b></p>
<ul>
<li><p>5+ years of experience in program, portfolio, or project management</p>
</li>
</ul><ul><li><p>Prior experience supporting AI, analytics, digital transformation, or technology governance initiatives</p>
</li>
</ul><ul><li><p>Demonstrated experience facilitating governance forums, councils, or steering committees</p>
</li>
</ul><ul><li><p>Experience working in complex, matrixed organizations with senior leadership engagement</p>
</li>
</ul><ul><li><p>Familiarity with healthcare operations, clinical workflows, or enterprise healthcare systems</p></li></ul><br>
<p>
</p><p><b>Skills, Knowledge &amp; Abilities:</b></p>
<ul>
<li><p>Strong facilitation, collaboration, and stakeholder management skills across clinical, technical, and business teams</p>
</li>
</ul><ul><li><p>Working knowledge of AI and machine learning concepts and lifecycle (use case intake, development, deployment, monitoring)</p>
</li>
</ul><ul><li><p>Understanding of healthcare regulatory, privacy, and data governance requirements (e.g., HIPAA)</p>
</li>
</ul><ul><li><p>High attention to detail with strong organizational, documentation, and follow‑through capabilities</p>
</li>
</ul><ul><li><p>Excellent written and verbal communication skills, including executive‑level presentations.</p>
</li>
</ul><p><b>Preferred Qualifications &amp; Skills:</b></p>
<p></p>
<ul><li><p>Experience with Epic</p></li></ul><br>
<p></p>
<p>
</p><p></p><p><b>Pay Range:
</b></p><p>$135,000.00 USD &ndash; $170,000.00 USD</p>
<p>
The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.</p>
<p></p>
<h2 class="jobSectionHeader"><b>As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.</b></h2>
<p></p>
<h2 class="jobSectionHeader"><b>More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.</b></h2>
<p></p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer/Veterans/Disabled</b></h2></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Job details</b></h3>
<ul><li><div><b>Employment:</b> Full-time</div></li>
<li><div><b>Hours/Week:</b> 40</div></li>
<li><div><b>Shift:</b> Day</div></li>
<li><div><b>Category:</b> Applications</div></li>
<li><div><b>Pay Range:</b> $135,000.00 USD - $170,000.00 USD</div></li>
<li><div><b>FLSA:</b> Exempt</div></li>
<li><div><b>Req ID:</b> JR95691</div></li></ul></div>

AI Program Manager

MASTER-WORKS

<div><p>Master-Works is seeking a dedicated AI Product Manager to spearhead the development and growth of our AI-powered product offerings. The ideal candidate will have a strong background in AI technology and product management, with the ability to align technical possibilities with customer needs and business goals. This role involves coordinating across teams to ensure successful product launches and continuous improvement.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>Define and lead the strategy and roadmap for AI-driven products.</li><li>Collaborate with engineering, data science, and design teams to develop features and improvements.</li><li>Conduct competitive and market analysis to identify opportunities and threats.</li><li>Gather and prioritize product requirements based on user feedback and business objectives.</li><li>Oversee the product lifecycle from ideation to launch and iteration.</li><li>Analyze product performance metrics and guide optimization efforts.</li><li>Maintain clear communication among stakeholders and promote a user-focused product culture.</li></ul><p></p><p><b>
Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Business, or a related discipline.</li><li>Experience managing AI or Machine Learning products.</li><li>Deep understanding of AI technologies and their applications.</li><li>Skilled in agile project management methodologies.</li><li>Strong analytical abilities and data-driven decision-making skills.</li><li>Excellent communication and teamwork capabilities.</li><li>Experience with user research and product usability testing is preferred.</li><li>Knowledge of AI tools and programming languages is advantageous.</li></ul><p></p><p>
Join Master-Works to contribute to innovative AI products that create meaningful impact for our users and business.</p><b><br>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, AI, Business, or related field</li><li>
Experience managing AI or machine learning product development</li><li>
Proficiency in AI technologies and applications</li><li>
Familiarity with agile project management</li><li>
Strong analytical and data-driven decision-making skills</li><li>
Excellent communication and teamwork skills</li><li>
Preferred experience with user research and usability testing</li><li>
Knowledge of AI tools and programming languages is a plus</li></ul></div>

AI Product Manager

Openkyber

<div><b>AI Agent Engineer Austin, TX HYBRID Only Locals 5 months Contract</b>
<p>Looking for the candidates who can work without any visa sponsorship. ONLY INPERSON INTERVIEWS Position is ONSITE/Hybrid at the location listed above (with some hybrid work determined by the hiring manager). The program will only accept LOCAL ONLY candidates for this position. The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY. Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.</p>
<p>Level Description 4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment.</p>
<p>Job Description Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
</p><p>Additional job details and special considerations AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency
</p><p>II. CANDIDATE SKILLS AND QUALIFICATIONS
</p><p>Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.</p>
<ul><li>Years Required/Preferred Experience 4</li>
<li>Required experience in AI/ML engineering or advanced data science 4</li>
<li>Required Proven track record of building and deploying production-grade autonomous agents.</li>
<li>Required Strong experience in context engineering</li>
<li>Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.</li>
<li>Required Experience implementing RAG architectures using vector databases</li>
<li>Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)</li>
<li>Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation</li>
<li>Required Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls</li>
<li>Required Understanding of data privacy and handling of sensitive data (PII/PHI)</li>
<li>Preferred Experience building multi-agent or autonomous agentic workflows</li>
<li>Preferred Experience optimizing LLM cost, token usage, and performance</li>
<li>Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
</li></ul><p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

AI Development Manager

<div><h2 class="jobSectionHeader"><b>Description</b></h2>
<div>
<p><b>The Role</b></p>
<div><p>
The AI Product Manager is a pivotal connector between business strategy and intelligent product delivery&mdash;translating complex organisational needs into clear, prioritised requirements and driving coordinated execution across Product Owners and cross-functional teams. This role sits at the intersection of business analysis and AI enablement, accountable for requirements gathering, stakeholder alignment, and ensuring that every product initiative is well-defined, technically feasible, and tied to measurable outcomes.</p></div>
<div>
<p>The AI Product Manager shapes how AI and data-driven capabilities move from concept to production. Where the portfolio includes machine learning models, generative AI features, or intelligent automation, this role is the critical bridge&mdash;translating real-world business problems into modelling requirements, assessing data readiness and technical feasibility, and defining success metrics that capture both model performance and business impact.</p>
<p><b>
The Requirements</b></p>
<div>
<div><p><b>Business Requirements &amp; Discovery</b></p></div>
<div><ul><li><p>
Leads requirements discovery across stakeholders through workshops, interviews, and process reviews.</p></li></ul></div>
<div><ul><li><p>
Elicits, documents, and validates business needs, user needs, pain points, and desired outcomes; translate into clear problem statements and requirements.</p></li></ul></div>
<div><ul><li><p>
Develops artifacts such as business requirement documents (BRDs), epics/features, use cases, user journeys, acceptance criteria, and process flows.</p></li></ul></div>
<div><ul><li><p>
Ensures requirements reflect regulatory, legal, privacy, security, and operational considerations; engaging the right SMEs early.</p></li></ul></div>
<div><p><b>
Analysis, Prioritization Support &amp; Decision Enablement</b></p></div>
<div><ul><li><p>
Analyzes qualitative and quantitative inputs (client feedback, operational metrics, adoption/usage data, defect trends) to refine requirements and recommendations.</p></li></ul></div>
<div><ul><li><p>
Supports the Product Leader with data-backed insights, business cases, and trade-off options (scope, timeline, cost, risk).</p></li></ul></div>
<div><ul><li><p>
Helps assess value, impact, dependencies, and feasibility; propose sequencing and release groupings for roadmap planning.</p></li></ul></div>
<div><p><b>
Coordination with Product Owner &amp; Delivery Teams</b></p></div>
<div><ul><li><p>
Partners with Product Owners to convert business requirements into well-groomed backlog items and sprint-ready work.</p></li></ul></div>
<div><ul><li><p>
Maintains continuous alignment between stakeholders and the delivery team; manage requirement clarifications, changes, and approvals.</p></li></ul></div>
<div><ul><li><p>
Participates in agile ceremonies as needed (backlog refinement, sprint planning, demos, retros) to ensure intent and acceptance criteria are understood.</p></li></ul></div>
<div><ul><li><p>
Coordinates UAT readiness and execution with business stakeholders; confirm delivered functionality meets defined requirements.</p></li></ul></div>
</div>
<div><div><p><b>Stakeholder Management &amp; Communication</b></p></div>
<div><ul><li><p>
Serves as a primary point of contact for product leaders and other relevant stakeholders on in-flight requirements and upcoming deliverables.</p></li></ul></div>
<div><ul><li><p>
Creates and maintain clear communication materials (requirements traceability, release notes inputs, decision logs, status updates).</p></li></ul></div>
<div><ul><li><p>
Proactively surface risks, gaps, and cross-team dependencies; drive timely resolution.</p></li></ul></div>
<div><p><b>
Quality, Adoption &amp; Continuous Improvement</b></p></div>
<div><ul><li><p>
Defines and track requirement-level success measures (e.g., process efficiency gains, reduced call drivers, improved completion rates, error reduction).</p></li></ul></div>
<div><ul><li><p>
Gathers post-release feedback, triage issues/enhancements, and feed learnings back into the backlog.</p></li></ul></div>
<div><ul><li><p>
Champions usability, data quality, and operational fit&mdash;ensuring solutions are intuitive, trusted, and supportable.</p></li></ul></div>
<div><p><b>
AI &amp; Data Product Management</b></p></div>
<div><ul><li><p>
Leads feasibility framing for AI-enabled features: assess data availability, model complexity, and ROI before requirements are finalised.</p></li></ul></div>
<div><ul><li><p>
Translates business problems into clear data and modelling needs; define what 'good' looks like for model outputs in terms of accuracy, fairness, and explainability.</p></li></ul></div>
<div><ul><li><p>
Defines AI-specific success metrics alongside business metrics&mdash;including model performance indicators (e.g. precision/recall, lift, false positive rates, latency) and outcome metrics tied to revenue or retention.</p></li></ul></div>
<div><ul><li><p>
Works closely with data scientists, ML engineers, and designers to align on experimentation approaches.</p></li></ul></div>
<div><ul><li><p>
Oversees post-launch monitoring requirements: define thresholds for model drift, bias, and performance decay; ensure feedback loops are built into the product.</p></li></ul></div>
<div><ul><li><p>
Applies AI ethics and governance principles and ensures privacy and compliance obligations are embedded into requirements&mdash;particularly in regulated HWC contexts.</p></li></ul></div>
<div><ul><li><p>
Communicates AI trade-offs clearly to non-technical stakeholders; bridging the gap between technical teams and business decision-makers.</p></li></ul></div>
<div><ul><li><p>
Leads enterprise-scale GenAI roadmap planning, including prioritisation of knowledge management, conversational AI, document intelligence, and analytics use cases in alignment with organisational strategy and executive stakeholders.</p></li></ul></div>
<div><ul><li><p>
Embeds responsible AI lifecycle management into product requirements, including governance frameworks, bias and fairness reviews, and iterative oversight mechanisms throughout model deployment.</p></li></ul></div>
<div><ul><li><p>
Scopes and drives R&amp;D initiatives for emerging AI patterns such as Retrieval-Augmented Generation (RAG) and autonomous AI Agents, translating innovation lab findings into scalable product capabilities.</p></li></ul></div><div><div><br>
<ul>
<li><p>
</p></li><li><p><b>Success Metrics</b></p></li>
<li><p>
Requirements quality: completeness, clarity, testability; reduced rework and churn in delivery.</p></li>
</ul></div>
<div><ul><li><p>On-time readiness: backlog items 'definition of ready' met for planned sprints/releases.</p></li></ul></div>
<div><ul><li><p>
Stakeholder satisfaction with requirement process and communication cadence.</p></li></ul></div>
<div><ul><li><p>
UAT outcomes: reduced defect leakage; acceptance criteria met.</p></li></ul></div>
<div><ul><li><p>
Post-release outcomes tied to the requirement intent (adoption, efficiency, reduced issues).</p></li></ul></div>
<div><ul><li><p>
Adoption of AI-enabled features across the portfolio, with clear, measurable, evidence of client and operational impact (e.g. time saved, decision quality, process automation rates).</p></li></ul></div>
<div><ul><li><p>
Proportion of the product roadmap incorporating AI/GenAI capabilities, with tracked progression from pilot to scaled deployment.</p></li></ul></div>
<div><ul><li><p>
For AI features: model performance metrics (accuracy, fairness, latency) meet defined thresholds at launch; post-launch monitoring in place with documented drift and bias review cadence.</p></li></ul></div>
<div><ul><li><p>
Measurable business value delivered from AI platform investments, evidenced by quantified ROI (e.g. hours saved, revenue influenced, cost reduction) tied to specific product capabilities.</p></li></ul></div>
<div><ul><li><p>
Product governance compliance rate: AI use cases reviewed against responsible AI framework prior to deployment; lifecycle management checkpoints met on schedule.</p></li></ul></div></div></div><br>
</div>
</div><p></p><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<div>
<p><b>The Qualifications</b></p>
<div>
<div><ul><li><p>7+ years of experience in product management, business analysis, or digital product delivery roles.</p></li></ul></div>
<div><ul><li><p>
Demonstrated strength in requirements elicitation, documentation, and stakeholder facilitation (workshops, interviews, process mapping).</p></li></ul></div>
<div><ul><li><p>
Strong analytical skills&mdash;able to synthesize data into insights, define measurable requirements, and support prioritization decisions.</p></li></ul></div>
<div><ul><li><p>
Excellent written and verbal communication skills; able to translate technical AI trade-offs (cost, latency, accuracy) into clear terms for non-technical stakeholders.</p></li></ul></div>
<div><ul><li><p>
Experience working in regulated environments and coordinating with compliance/legal/risk</p></li></ul></div>
<div><ul><li><p>
Highly organized, detail-oriented, and comfortable managing multiple stakeholders and competing priorities.</p></li></ul></div>
</div>
<div><div><ul><li><p>Familiarity with product tools (e.g., Jira/Azure DevOps, Confluence, Miro) and requirements documentation practices.</p></li></ul></div>
<div><ul><li><p>
Experience supporting data/analytics or AI-enabled product features, including: defining requirements for model outputs; understanding ML pipelines (training, validation, inference); working with model evaluation concepts such as precision/recall, ROC-AUC, and calibration; and establishing governance, monitoring, and iteration plans.</p></li></ul></div>
<div><ul><li><p>
Understanding of AI ethics considerations: bias and fairness, transparency and explainability, privacy, and compliance&mdash;especially in regulated industries.</p></li></ul></div>
<div><ul><li><p>
Data literacy: comfortable with statistics fundamentals, distributions, and sampling sufficient to ask the right questions of data science and ML teams.</p></li></ul></div>
<div><ul><li><p>
Demonstrated experience building and owning end-to-end enterprise AI roadmaps, including knowledge management, conversational AI, and document intelligence platforms at scale.</p></li></ul></div>
<div>
<ul><li><p>Track record of quantifying and communicating AI product value to executive stakeholders, including ROI framing, AUM growth attribution, and operational efficiency metrics.</p></li></ul><br>
<p></p>
<p><b>
This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified</b></p>
<p>
Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.</p><br>
<p></p>
<p><b>
Compensation and Benefits</b></p>
<p>
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation.</p>
<p><b>
Compensation</b></p>
<p>
The base salary compensation range being offered for this role is $225,000-$300,000 USD per year.</p>
<p>
This role is also eligible for an annual short-term incentive bonus</p>
<p><b>
Company Benefits</b></p>
<p>
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):</p>
<ul>
<li><b>Health and Welfare Benefits:</b> Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&amp;D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)</li>
<li><b>Leave Benefits:</b> Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off
</li><li><b>Retirement Benefits:</b> Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.</li>
</ul>
<p>Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records.</p>
<p>
EOE, including disability/vets</p></div></div></div></div>

Etera Technologies FZCO

<div><p><b>About Etera</b></p><p>
Etera is building the first AI-native corporate travel platform for the GCC market &mdash; designed from the ground up for how businesses in the region actually operate. We're a lean, high-conviction team replacing legacy TMCs with autonomous agents, real-time inventory, and a product experience that doesn't feel like it was designed in 2009.</p><p></p><p><b>
The Role</b></p><p>
We're hiring a Product Manager who ships production work within their first 6&ndash;8 weeks. Not a stretch goal &mdash; the bar.</p><p>
You'll own product direction across Etera's verticals, working backwards from users and business outcomes to define what gets built and in what order. You operate alongside engineering using the same agentic tools they use &mdash; Claude Code, Codex, Cursor &mdash; producing specs, documentation, prototypes, and product artifacts directly through them. You manage a physical team of humans and a virtual team of AI-powered workflows, and you're accountable for the output of both.</p><p>
This role requires a sharp eye for UI/UX. Etera's product philosophy is premium, calm, and detail-obsessed &mdash; every pixel earns its place. You don't need to be a designer, but you need to see what a designer sees. You catch the misaligned padding, the inconsistent type weight, the interaction that feels off before anyone files a bug. You hold the quality bar for what the user actually experiences, not just what the spec described.</p><p>
You report to the Head of Product. You work shoulder-to-shoulder with the Engineering Manager.</p><p></p><p><b>
What You'll Own</b></p><ul><li>
Product direction. You own the what and the when across Etera's verticals. What gets built, in what order, for whom, and why. You make prioritization decisions grounded in user insight, business impact, and engineering feasibility &mdash; not opinion, not trend-chasing. You scope ruthlessly: ship the right slice, validate through user feedback and data, and kill what doesn't work.</li><li>
Specs that are ready to build from. You write lean, precise product specs &mdash; problem statements, success metrics, scope boundaries, edge cases. Good enough that an engineer can start building without a clarification meeting. You use Claude Code, Codex, and Cursor to produce these specs, generate user flows, build lightweight prototypes, and validate ideas before committing engineering time. Vague specs are bugs in the product process.</li><li>
UI/UX quality. You are the last line of defense before anything reaches users. You review every feature, every screen, every interaction with the eye of someone who understands that trust is built through craft &mdash; typography, spacing, hierarchy, motion, responsiveness. You represent the user with conviction and rigor, and you push back when the output doesn't meet the bar, regardless of who produced it.</li><li>
User and market understanding. You know who Etera's users are &mdash; corporate travel managers, business travelers in the GCC, travel operations teams replacing legacy TMCs. You talk to users. You read support tickets. You watch session recordings. You run discovery end-to-end: user interviews, competitive research, usability testing, data analysis. Your product instincts are grounded in evidence, not assumptions.</li><li>
A virtual product team. Beyond the human team, you build and maintain AI-powered product workflows &mdash; competitive analysis, spec formatting, documentation updates, changelog generation, user feedback synthesis. You define what gets automated, configure the workflows, and validate the output. Every piece of repetitive product work gets removed from your plate so you focus on judgment and decisions.</li><li>
Cross-functional coordination. You are the bridge between product, engineering, design, and business. You don't throw specs over the wall. You're in the thread when architecture decisions are made, when trade-offs surface, and when scope needs to flex. You equip sales, support, and marketing so they can effectively communicate value to customers. You make the call on scope; the Engineering Manager makes the call on implementation.</li><li>
Shipping cadence. Features go to production in days and weeks, not months and quarters. You break large initiatives into shippable increments and resist the temptation to hold everything for a big reveal. You check with users and metrics to learn what works and what should be iterated on or killed. You measure yourself by what's live, not what's planned.</li><li>
Metrics and outcomes. You define and analyze the metrics that inform product success. You instrument features before launch, monitor impact after, and use data to drive the next iteration. You present findings to the team with clarity and conviction, and you change course when the numbers say you're wrong.</li></ul><p></p><p><b>
Tools You Operate</b></p><ul><li><b>
Daily drivers &mdash; you're already proficient:</b></li><li><ul><li>
Claude Code, Codex, Cursor &mdash; for spec writing, documentation, prototyping, agent workflow configuration, and direct production of product artifacts. This is non-negotiable.</li><li>
Jira &mdash; for epic structuring and ticket management. You write lean epics with problem statements and scope boundaries, not verbose requirement documents.</li><li>
Figma &mdash; for reviewing designs, annotating feedback, and understanding design constraints at the detail level. You spot issues before engineering starts building.</li></ul></li><li><b>
Expected &mdash; you know these or pick them up fast:</b></li><li><ul><li>
Analytics tools (Mixpanel, Amplitude, or equivalent) &mdash; for measuring feature impact and making data-informed decisions.</li><li>
Confluence or equivalent &mdash; for maintaining living documentation, PRDs, and product decision logs.</li><li>
Markdown &mdash; your default writing format for specs, docs, and async communication.</li></ul></li></ul><br>
<b>
Requirements</b><p><b><br>
What We're Looking For</b></p><ul><li>
5+ years of product management experience shipping consumer or B2B SaaS products. You have a track record of features that went live, moved metrics, and survived contact with real users &mdash; not just roadmaps that got approved.</li><li>
Proficiency with Claude Code, Codex, and Cursor. You use these tools daily to produce real work. Not as a curiosity. As infrastructure. If they've fundamentally changed how you work, you're in the right place.</li><li>
A sharp, trained eye for UI/UX. You understand visual hierarchy, typography, spacing, interaction design, and responsive behavior at a level where you catch quality issues that most PMs miss. You have strong opinions on what makes a product feel premium versus generic, and you can articulate why.</li><li>
Fast ramp-up ability. You can absorb a new product, market, and tech stack quickly enough to ship production work within 6&ndash;8 weeks. You've done this before &mdash; joined a team and delivered real output in the first two months.</li><li>
Strong product writing. Your specs are precise, your prioritization rationale is clear, your async communication is sharp. In a remote-first, written-first culture, your writing is your primary tool for alignment.</li><li>
Technical fluency. You don't write production code, but you understand how software systems work. You can read an API contract, follow an architecture discussion, and make scope trade-offs that account for technical complexity. Engineers respect your judgment because you understand their constraints.</li><li>
Data-driven decision making. You define success metrics before building, instrument features, and use quantitative and qualitative data to inform what ships next. You present findings with rigor, not narrative convenience.</li><li>
Experience managing distributed or remote teams. You've run product processes across time zones with async-first communication. Written documents are your default, not meetings.</li><li>
Ownership mentality. You don't wait for permission. You don't escalate decisions you can make yourself. When something isn't working, you fix the process, not just the output.</li></ul><p></p><p><b>
Bonus Points</b></p><ul><li>
Experience in travel, hospitality, or corporate travel management. You understand booking lifecycles, supplier dynamics, and what corporate buyers care about.</li><li>
Experience with GCC markets &mdash; UAE, Saudi Arabia, Qatar. You understand the business culture and user expectations in the region.</li><li>
Prior experience in design tools, visual editing, or creative platforms &mdash; any background that sharpened your eye for design quality beyond typical PM level.</li><li>
You've built and managed AI-powered product workflows &mdash; competitive intelligence agents, documentation agents, feedback synthesis pipelines.</li><li>
Experience with B2B product management &mdash; procurement cycles, account management integration, enterprise feature requirements.</li><li>
Experience shaping product direction amid ambiguity &mdash; 0-to-1 product work where the category is being defined in real time.</li></ul><br>
<b>
Benefits</b><p><b><br>
What We Offer</b></p><ul><li>
Ship From Week One &mdash; The expectation is production output within 6&ndash;8 weeks. You'll have the tools, the context, and the team to make that real.</li><li>
Human + AI Product Team &mdash; You'll manage both human team members and AI agent workflows. You'll define how product management works when half your throughput comes from agentic tools.</li><li>
Greenfield Product &mdash; Four verticals, a B2B platform layer, an AI-native architecture. Most of this is being built right now. You're shaping the product, not maintaining someone else's decisions.</li><li>
Design-Obsessed Culture &mdash; Etera's design philosophy is premium, calm, detail-driven. You'll work in an environment where the quality bar for UI/UX is genuinely high, not just aspirational.</li><li>
Remote-First &mdash; Work from anywhere. Async-friendly, written-first culture. Team distributed across Europe, Pakistan, and the Gulf.</li><li>
Equity + Competitive Package &mdash; Meaningful equity stake. Competitive cash. Built for the long term.</li><li>
High-Impact Market &mdash; GCC corporate travel is a $20B+ market running on legacy infrastructure. You're building the replacement.</li></ul></div>

<div><b>Role Purpose</b><p>
Plan, lead, and control AI projects across the full <b>Project Management Lifecycle</b> while ensuring alignment with <b>organizational PMO governance</b>, contractual commitments, and <b>CPMAI&trade; analytics lifecycle phases</b> to achieve measurable business outcomes.</p><p></p><b>
Key Responsibilities</b><b>Initiation &amp; Alignment</b><ul><li>
Develop and maintain the <b>Project Charter</b>, ensuring alignment with business objectives, success criteria, and value realization goals.
</li><li>Identify and engage key stakeholders; define stakeholder expectations and communication needs.
</li></ul><b>Planning</b><ul><li>
Establish and baseline the <b>Integrated Project Management Plan</b>, including scope, schedule, cost, quality, resource, risk, communication, and procurement components.
</li><li>Define <b>Work Breakdown Structure (WBS)</b>, milestones, delivery dependencies, and acceptance criteria.
</li><li>Plan resource allocation in coordination with technical leads and functional managers.
</li><li>Ensure alignment between delivery plans, payment milestones, and contractual terms.
</li></ul><b>Execution</b><ul><li>
Direct and manage project work in accordance with the approved project plan and governance framework.
</li><li>Coordinate cross-functional teams (AI, data, platform, infrastructure) to support CPMAI&trade; phases such as business understanding, data understanding, modeling, deployment, and monitoring.
</li><li>Serve as the primary point of integration between PMO, technical teams, vendors, and clients.
</li></ul><b>Monitoring &amp; Controlling</b><ul><li>
Monitor project performance against baselined scope, schedule, and cost using defined KPIs.
</li><li>Identify, assess, and manage <b>risks, issues, assumptions, and dependencies (RAID)</b> proactively.
</li><li>Control scope through formal <b>Change Control</b> processes and assess impact on time, cost, and value.
</li><li>Produce accurate and timely <b>project status reports</b> and forecasts for stakeholders.
</li></ul><b>Closure &amp; Value Realization</b><ul><li>
Ensure formal project closure, including deliverable acceptance, documentation handover, and lessons learned.
</li><li>Support value realization tracking and post-delivery performance monitoring where applicable.
</li>Ensure all contractual and governance artifacts (e.g., CoCs, invoices, approvals) are completed and archived.<br>
<li>
</li></ul><br>
<br>
<p></p><b>Requirements</b><p></p><b><br>
Qualifications &amp; Requirements</b><ul><li>
Bachelor&rsquo;s degree in IT, Computer Science, Engineering, or a related field.
</li><li>8+<b> years of experience</b> in technology project management, including delivery of complex, data-driven or AI-enabled solutions.
</li><li><b>Saudi nationality is mandatory</b>.
</li><li><b>PMP&reg;, PRINCE2&reg;, or equivalent PMI-aligned certification is required</b>.
</li><li><b>PMI-CPMAI&trade; certification is a strong advantage</b>, with demonstrated understanding of analytics and AI project lifecycles.
</li><li>Strong capability in stakeholder engagement, governance enforcement, and cross-functional coordination.
</li><li>Proven ability to manage projects in high-visibility, regulated, or enterprise environments.</li></ul></div>

AI Project Manager

Adeer International

<div>
 AI Strategy &amp; Innovation Leadership
 <br/>
 <ul>
  <li>
   Define and execute company&rsquo;s AI and innovation roadmap aligned with business goals
   <br/>
  </li>
  <li>
   Identify and prioritize opportunities to apply AI, automation, and data-driven solutions
   <br/>
  </li>
  <li>
   Promote a culture of innovation, experimentation, and continuous learning across the organization
   <br/>
  </li>
  <li>
   Establish a structured innovation pipeline with clear stage gates, KPIs, and decision frameworks
   <br/>
  </li>
 </ul>
 Venture Building &amp; Product Innovation (0 &rarr; 1)
 <br/>
 <ul>
  <li>
   Own the full lifecycle: opportunity discovery &rarr; concept &rarr; prototype &rarr; pilot &rarr; validated MVP
   <br/>
  </li>
  <li>
   Build and lead a small, senior team of product builders, designers, and technical generalists
   <br/>
  </li>
  <li>
   Drive momentum across 2&ndash;4 parallel product experiments
   <br/>
  </li>
  <li>
   Make decisive calls on what to build, pivot, pause, or kill
   <br/>
  </li>
  <li>
   Work closely with leadership, domain experts, and early users to shape solutions in real time
   <br/>
  </li>
  <li>
   Present clear, evidence-based go / no-go recommendations
   <br/>
  </li>
 </ul>
 Rapid Prototyping &amp; Experimentation
 <br/>
 <ul>
  <li>
   Build and ship functional prototypes within days using no-code/low-code tools (e.g., Bubble, Webflow, Retool, Airtable, Zapier, Make, n8n, Thunkable)
   <br/>
  </li>
  <li>
   Develop &ldquo;Wizard of Oz&rdquo; MVPs to validate assumptions before full investment
   <br/>
  </li>
  <li>
   Design experiments that generate meaningful insights, not just activity
   <br/>
  </li>
  <li>
   Test products with real users (e.g., brokers, buyers, investors, lenders)
   <br/>
  </li>
  <li>
   Define and track success metrics such as activation, conversion, retention, and unit economics
   <br/>
  </li>
 </ul>
 Technical Leadership &amp; Scaling
 <br/>
 <ul>
  <li>
   Stay hands-on&mdash;building alongside the team when needed
   <br/>
  </li>
  <li>
   Design scalable system architectures transitioning from prototype to production
   <br/>
  </li>
  <li>
   Make sound technical decisions around APIs, backend infrastructure, databases, and integrations
   <br/>
  </li>
  <li>
   Bridge rapid prototyping with production-grade engineering
   <br/>
  </li>
  <li>
   Partner closely with engineering teams during handover and scale-up phases
   <br/>
  </li>
 </ul>
 Collaboration &amp; Stakeholder Management
 <br/>
 <ul>
  <li>
   Collaborate cross-functionally with HR, Operations, IT, and Commercial teams
   <br/>
  </li>
  <li>
   Manage relationships with external partners, vendors, and startups
   <br/>
  </li>
  <li>
   Ensure compliance with data privacy, security, and ethical AI standards
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Requirements
 <br/>
 <br/>
 <ul>
  <li>
   7&ndash;10+ years of experience building digital products in startups, scale-ups, or venture environments
   <br/>
  </li>
  <li>
   Proven track record of launching 3&ndash;5 products from idea to live MVP with real users
   <br/>
  </li>
  <li>
   Strong technical foundation in backend development, APIs, solution architecture, and data modeling
   <br/>
  </li>
  <li>
   Deep experience leading teams in high-speed, ambiguous environments
   <br/>
  </li>
  <li>
   Hands-on experience with no-code/low-code tools and rapid prototyping
   <br/>
  </li>
  <li>
   Comfortable with light coding (Python, JavaScript, Node.js) and API integrations
   <br/>
  </li>
  <li>
   Strong understanding of AI technologies (Machine Learning, NLP, Automation, Data Analytics)
   <br/>
  </li>
  <li>
   Experience embedding AI into business processes and products
   <br/>
  </li>
  <li>
   Experience in PropTech, FinTech, or marketplace platforms
   <br/>
  </li>
  <li>
   Strong understanding of MENA markets, especially Egypt and KSA
   <br/>
  </li>
  <li>
   Background in venture studios, innovation labs, or startup builders
   <br/>
  </li>
  <li>
   Experience in regulated industries (real estate, finance, payments)
   <br/>
  </li>
  <li>
   Proven ability to hire, mentor, and scale high-performing technical teams
   <br/>
  </li>
 </ul>
</div>


AI & Innovation Manager

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