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Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia Eram Talent is in search of a dedicated Data Quality Development Analyst to enhance our commitment to delivering exceptional staffing solutions. In this pivotal role, you will ensure that our data quality standards are met and continuously developed, contributing to our data-driven decision-making capabilities across the organization. The role holder is responsible for designing data quality assurance policies and standards, developing an enterprise data quality solution, defining metadata repositories and master data management to enable leverage enterprise data for business intelligence. The role holder is also responsible for installing and maintaining business intelligence tools and fine-tuning their performance. Key Responsibilities Responsible for designing, testing, deploying and documenting the data quality procedures and their outputs Design processes and technology to enable the client to leverage the enterprise data for business intelligence purposes. Define the data policy, standards and guidelines and ensure consistency. Coordinate with Master Data Quality Manager and define metadata repository for digitally and physically storing and cataloguing data. Design master data management to provide processes, governance, policies, standards and tools to define and manage master data. Define quality assurance policies and standards to ensure consistency in business intelligence reports. Identify and highlight issues related to data quality in order to improve accuracy of reports leading to proper decision making. Liaise with Master Data Quality Manager to provide support in development, operations and maintenance of dashboards and reports in the Technology environment. Install business intelligence tools and configures hardware and software components. Perform users’ administrator setup and provides continuous support for maintenance. Perform business intelligence performance tuning to ensure optimal performance. Recommend training and development interventions for team members to build their capabilities. Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency. Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner. Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards. Requirements Bachelor’s degree in information technology, or equivalent from a recognized and accredited university is required. 5+ years of experience in data analysis, data quality, or a similar role. Knowledge of Data Quality principles, policies and procedures. Knowledge of Data Quality tools. Strong understanding of data governance, data quality metrics, and data management principles. Experience with data profiling tools and techniques. Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI). Strong analytical and problem-solving skills. Excellent communication skills and ability to work collaboratively with diverse teams. Detail-oriented with a strong focus on data accuracy and reliability.

Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia Eram Talent is seeking a dedicated Data Quality Business Analyst to join our growing team. In this role, you will be responsible for ensuring the integrity, accuracy, and reliability of data across our business systems. You will collaborate with cross-functional teams and stakeholders to define data quality standards, develop metrics, and implement processes that enhance data management practices. Your responsibilities will include performing data analysis, identifying data quality issues, and recommending solutions to improve data governance. You will also work on data quality initiatives and may be involved in data profiling, cleansing, and monitoring to ensure adherence to organizational data quality standards. Responsibilities Consolidate guidelines, processes and parameters for conducting business analysis in order to follow a consistent approach in the process followed for collating data and carrying out analytics. Support in coordinating with Technology departments through periodic meetings to understand the specific business requirements related to business analytics. Coordinate with different internal departments to identify the most suitable data resources to ensure effective data collection and analysis based on the requirements. Support in identifying potential external vendors/market research agencies etc. and coordinate with them to establish the data collection and reporting needs in order to ensure efficiency in the data collection process. Coordinate with external consultants/forums to keep updated with the latest developments in the Technology landscape. Perform data cleaning and standardisation for conducting the relevant analysis and ensures adherence to data quality standards while developing reports on procurement and logistics updates. Stay up to date on the latest business intelligence tools, databases, systems or methods etc. and shares insights with Master Data Quality Manager on leveraging the same for business requirements. Develop the requisite reports (weekly/monthly/ad-hoc) and ensures timely submission of the same to facilitate decision making. Requirements Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required. 5+ years of experience as a Data Quality Analyst or in a related field. Certified Data Privacy Solutions Engineer (CDPSE) preferred. Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred. Strong understanding of data management principles, data governance, and data quality best practices. Proficient in data profiling and analysis tools (e.g., SQL, Python, or ETL tools) to assess data quality. Experience with data visualization tools such as Tableau, Power BI, or similar is a plus. Strong analytical and problem-solving skills to identify data quality issues and develop actionable solutions. Excellent communication skills, with the ability to work collaboratively with diverse teams and stakeholders. Detail-oriented with a focus on delivering high-quality results. Familiarity with data privacy and regulatory compliance standards is a plus.

Location: Global (Remote) Workplace: Remote COMMUNITY GROWTH MANAGER Team: Community Location: Flexible / Remote Reporting to: VP of Community ROLE OVERVIEW Rwazi’s Community function represents the human layer of the company — contributors, mappers, and platform participants across global markets. The Community Growth Manager owns measurable network expansion. This role scales user acquisition, accelerates activation, and increases network density across priority geographies. Community growth is treated as infrastructure — not marketing. The Community Growth Manager builds a predictable, compounding human network. CORE MANDATE The Community Growth Manager is accountable for: - Scaling contributor and user acquisition - Increasing activation velocity (sign-up → first participation) - Expanding network density in key markets - Improving referral-driven growth loops - Strengthening repeat participation This role owns the growth mechanics of the human network. KEY RESPONSIBILITIES USER ACQUISITION & EXPANSION - Design and execute multi-channel contributor acquisition strategies - Identify high-density geographic clusters - Optimize cost-per-active-user - Test and scale growth channels systematically ACTIVATION VELOCITY - Reduce time-to-first-submission - Optimize onboarding flows - Improve conversion from interest → active participation - Identify and remove friction in early journey stages NETWORK DENSITY & COVERAGE - Increase active contributors per city - Balance growth across underserved regions - Maintain supply resilience across markets REFERRAL & ORGANIC GROWTH SYSTEMS - Design referral programs tied to measurable expansion - Track referral conversion rates - Strengthen peer-driven network growth GROWTH ANALYTICS & OPTIMIZATION - Track acquisition, activation, and retention metrics - Run experiments to improve conversion rates - Provide structured reporting to VP of Community ROLE IMPACT Strong performance results in: - Faster log fulfillment due to stronger network density - Lower acquisition cost per active user - Higher activation conversion rates - Stronger organic growth - Increased supply resilience This role directly influences execution speed and ecosystem strength. WHAT THIS ROLE IS NOT - Not community moderation - Not delivery operations - Not reactive messaging - Not event management This role requires structured growth discipline. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 4–8+ years in growth, marketplace scaling, or community expansion - Experience building distributed user networks - Strong analytical ability with funnel metrics - Comfort running structured experiments - Bias toward action and iteration - Experience operating in multi-geography environments Candidates may come from gig platforms, marketplace startups, creator ecosystems, or growth-driven SaaS environments. CULTURAL FIT We value operators who: - Think in funnels and density, not vanity metrics - Care about measurable outcomes - Move quickly and iterate - Build systems that compound - Operate with ownership and accountability HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Growth metrics achieved in prior roles - Activation and retention improvements driven - Ability to design scalable acquisition systems - Analytical rigor behind growth decisions - Structured experimentation discipline SUMMARY The Community Growth Manager scales Rwazi’s human network by driving acquisition, activation, and expansion across markets. This role ensures the Community layer grows predictably, efficiently, and sustainably as the company scales.

Location: Global (Remote) Workplace: Remote SENIOR COMMUNITY MANAGER Team: Community Location: Flexible / Remote Reporting to: VP of Community ROLE OVERVIEW Rwazi’s Community function represents the human surface area of the company — contributors, mappers, enterprise clients, and ecosystem partners. The Senior Community Manager owns ecosystem strategy. This role defines how these groups connect, interact, and reinforce one another within the broader Rwazi network. Community at this level is not messaging. It is network architecture. The Senior Community Manager ensures Rwazi’s ecosystem compounds in trust, density, and strategic value over time. CORE MANDATE The Senior Community Manager is accountable for: - Designing the structure of Rwazi’s ecosystem - Strengthening relationships across users, mappers, clients, and partners - Creating cross-node interaction within the network - Increasing ecosystem resilience and loyalty - Protecting long-term trust capital This role builds durable relational infrastructure. KEY RESPONSIBILITIES ECOSYSTEM ARCHITECTURE - Define how contributors, enterprise users, and partners interact - Design structured engagement models across stakeholder groups - Create pathways for collaboration and shared value - Reduce ecosystem fragmentation MULTI-STAKEHOLDER RELATIONSHIP STRATEGY - Maintain strong relationships across core ecosystem segments - Identify trust gaps or sentiment risk early - Develop structured communication strategies per segment - Balance enterprise professionalism with grassroots authenticity COMMUNITY-TO-PRODUCT FEEDBACK LOOPS - Surface structured ecosystem insights to Product and Leadership - Identify recurring friction patterns across stakeholders - Translate ecosystem signals into strategic adjustments IDENTITY & NARRATIVE STEWARDSHIP - Strengthen Rwazi’s identity within its network - Develop rituals, recognition systems, and shared milestones - Protect tone, positioning, and relational clarity STRATEGIC EXPANSION SUPPORT - Support VP of Community in scaling ecosystem footprint - Evaluate new market or segment entry from a network perspective - Identify ecosystem-driven growth opportunities ROLE IMPACT Strong performance results in: - Higher ecosystem cohesion - Increased stakeholder loyalty - Stronger cross-network referrals - Reduced churn across contributors and clients - Greater long-term defensibility This role strengthens Rwazi’s human moat. WHAT THIS ROLE IS NOT - Not delivery operations - Not reactive support - Not transactional messaging - Not community engagement for engagement’s sake This role requires structured ecosystem thinking. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 6–10+ years in community, ecosystem, or network leadership roles - Experience managing multi-sided platforms (marketplace, SaaS, or distributed networks) - Strong relationship-building ability across different stakeholder types - Strategic thinking around network effects - Analytical comfort with retention, density, and ecosystem health metrics - Executive communication clarity Candidates may come from marketplace ecosystems, enterprise SaaS community leadership, or multi-stakeholder platforms. CULTURAL FIT We value leaders who: - Think long-term about trust capital - Balance warmth with strategic discipline - Operate without ego but with authority - Care about ecosystem integrity - Prefer durable systems over reactive fixes HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to design and scale ecosystem structures - Evidence of strengthening multi-sided networks - Clarity in handling stakeholder complexity - Structured thinking around community health metrics - Strategic maturity in managing trust across groups SUMMARY The Senior Community Manager leads the design and strengthening of Rwazi’s ecosystem across users, mappers, enterprise clients, and partners. This role ensures that Rwazi’s human network compounds in value — becoming a durable competitive advantage over time.

Location: Global (Remote) Workplace: Remote EXECUTIVE ASSISTANT Team: CEO Office Location: Flexible / Remote Reporting to: CEO ROLE OVERVIEW Rwazi operates in a high-velocity, AI-native environment where clarity, follow-through, and structured thinking are essential. The Executive Assistant supports the CEO in day-to-day executive operations — documentation, planning cadence, structured follow-ups, and internal coordination. This is a foundational role inside the CEO’s office. While the title is traditional, the expectation is not. We are looking for someone with former founder instincts or strong analytical pedigree — who understands strategy, but is comfortable operating in a support capacity without ego. This role requires intelligence, discipline, and humility. CORE MANDATE The Executive Assistant is accountable for: - Maintaining executive documentation rigor - Structuring meetings into clear outputs and actions - Tracking cross-functional commitments - Supporting board and planning cycles - Reducing cognitive load on the CEO This role strengthens executive execution hygiene. KEY RESPONSIBILITIES EXECUTIVE DOCUMENTATION & STRUCTURING - Capture high-quality, structured notes in executive and board meetings - Translate discussions into clear action items with owners and deadlines - Maintain organized, searchable documentation systems - Draft memos, summaries, and internal briefs PLANNING & CADENCE MANAGEMENT - Support quarterly and annual planning processes - Assist in preparing board decks and executive materials - Maintain visibility over key company-wide priorities - Ensure follow-through across functional leaders CROSS-FUNCTIONAL COORDINATION - Track execution commitments across teams - Follow up on deadlines and deliverables - Escalate slippage early and objectively - Maintain structured dashboards of ongoing initiatives OPERATIONAL & ADMINISTRATIVE SUPPORT - Manage executive scheduling and prioritization - Coordinate internal and external communications - Maintain high professional standards in all outputs ROLE IMPACT Strong performance results in: - Clear executive decision trails - Fewer dropped commitments - Tighter cross-functional alignment - Faster execution cycles - Increased CEO focus on strategic priorities WHAT THIS ROLE IS NOT - This is not a strategic leadership role - This is not independent product or revenue ownership - This is not a stepping stone to immediate executive authority This role requires comfort operating in a support function — regardless of prior seniority. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Former founder, operator, or builder experience OR strong analytical background (consulting, finance, research, technical environments) - Exceptional structured writing ability - Strong analytical reasoning and pattern recognition - Comfort synthesizing complex discussions into clarity - High attention to detail - Ability to operate without ego in a support capacity - Strong discretion and professionalism Former founders are welcome — provided they are motivated by discipline and execution, not status. CULTURAL FIT We value individuals who: - Think sharply but act humbly - Prefer execution over visibility - Take pride in structured output - Care about precision - Follow through consistently HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Clarity and structure of written work - Analytical depth in summarizing complex discussions - Discipline in tracking commitments - Comfort supporting executive workflows - Absence of ego in operational contexts SUMMARY The Executive Assistant strengthens the CEO’s office by applying founder-level thinking and analytical rigor to executive documentation, planning, and follow-through. This role is foundational to maintaining speed, clarity, and execution discipline as Rwazi scales.

Location: Global (Remote) Workplace: Remote RECRUITER Team: People Location: Flexible / Remote Reporting to: Recruitment Lead ROLE OVERVIEW Rwazi scales through disciplined talent acquisition. The Recruiter executes the hiring engine — sourcing, screening, coordinating, and progressing high-quality candidates through structured evaluation pipelines. This role ensures hiring velocity without compromising talent bar. The Recruiter does not simply fill roles. They move qualified candidates through a structured, high-signal system. CORE MANDATE The Recruiter is accountable for: - Generating qualified candidate flow - Maintaining structured candidate progression - Preserving evaluation rigor - Reducing time-to-interview and time-to-offer - Ensuring strong candidate experience This is an execution-critical role within the hiring pipeline. KEY RESPONSIBILITIES SOURCING & PIPELINE EXECUTION - Source candidates across prioritized channels - Maintain proactive outreach cadences - Build candidate pools ahead of immediate demand - Track sourcing effectiveness by channel CANDIDATE SCREENING & SIGNAL FILTERING - Conduct structured screening interviews - Assess alignment against defined role rubrics - Filter for capability, ownership mindset, and execution ability - Maintain clear candidate documentation INTERVIEW COORDINATION & PROGRESSION - Schedule and manage interview stages - Ensure timely feedback collection - Reduce bottlenecks in hiring workflows - Maintain candidate momentum through the funnel CANDIDATE EXPERIENCE - Communicate clearly and professionally - Maintain responsiveness and transparency - Uphold Rwazi’s reputation in the talent market RECRUITING METRICS & DISCIPLINE - Track funnel conversion rates - Maintain accurate pipeline reporting - Identify drop-off patterns and escalate issues ROLE IMPACT Strong performance in this role results in: - Faster hiring cycles - Higher-quality candidate shortlists - Reduced interview fatigue for hiring managers - Predictable pipeline health - Stronger employer brand perception WHAT THIS ROLE IS NOT - Not passive resume sorting - Not job posting only - Not administrative scheduling support - Not lowering bar to fill seats This role requires judgment, pace, and structure. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 2–5+ years in recruiting (startup or high-performance environments preferred) - Experience hiring across multiple functions (Product, Ops, Finance, etc.) - Strong structured interviewing ability - Clear written and verbal communication - Ability to operate with speed and organization - Comfort working in metric-driven environments Candidates may come from startup recruiting, marketplace hiring, agency environments, or internal talent acquisition teams. CULTURAL FIT We value recruiters who: - Protect the hiring bar - Move quickly without chaos - Maintain high ownership - Operate with clarity and professionalism - See recruiting as a system, not a task HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Quality of sourced candidates - Funnel discipline and pipeline clarity - Communication clarity - Speed without compromise - Ability to maintain candidate momentum SUMMARY The Recruiter powers the execution layer of Rwazi’s hiring engine. This role ensures high-quality talent flows predictably into the organization as we scale.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Build enterprise-grade AI agents for healthcare: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. These agents help people understand their coverage, find providers, schedule appointments, navigate billing, and more—all while maintaining strict HIPAA compliance and the trust that healthcare demands. - Discover where agents will make an impact: Ground-up discovery is a critical part of the role. Work closely with providers, payers, RCMs and pharmaceutical companies to identify new use cases and opportunities for AI Agents to deliver impact for their business. You should be our customer’s trusted advisor, and be able drive strategic decisions for our customers. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the platform and healthcare roadmap: Your direct work with healthcare customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development in healthcare. EXAMPLE PROJECTS These are examples of projects our healthcare team has worked on: - Develop net new agentic healthcare products that can cut costs and drive revenue in the healthcare ecosystem. - Build AI agents for major health insurance networks that handle detailed questions like "what's my co-pay for a primary care visit?" and "how many physical therapy sessions do I have left?" - Develop voice and chat agents for nonprofit healthcare providers that help members find in-network specialists, check availability, and locate providers based on specialty or location - Create AI agents for multi-site primary and urgent care providers that manage appointments and answer common questions across 30+ clinics - Build agents that replace lengthy paper intake forms with conversational experiences, boosting pre-visit intake conversion rates - Develop AI agents for healthcare financial platforms that help patients understand billing, payment status, explanations of benefits, and financial assistance eligibility. - Experiment with the latest voice models and integrate them at scale for healthcare enterprises requiring secure, compliant phone interactions WHAT YOU'LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Degree in a technical or related field, or equivalent professional experience. - Genuine interest in healthcare and improving patient/member experiences EVEN BETTER... - Experience in healthcare technology, health IT or working with healthcare organizations - Understanding of healthcare compliance requirements (HIPAA, PHI handling and healthcare data privacy) - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s distribution partnerships team is passionate about unlocking new sources of revenue and hyper-scaling growth through the power of strategic alliances. This includes accelerating go-to-market (GTM) efforts, driving adoption of Figma’s platform, and unlocking new use cases via our suite of AI tools. We are looking to hire an experienced business development and partnerships professional to scale our efforts with agencies, systems integrators, consultancies, and commercial partners (resellers) across the globe. This includes driving revenue growth and supporting customers across North America in both commercial and public sectors (government). This is not a channel sales role - we are focused on new critical initiatives and analyzing how partnerships best serve the long-term needs of Figma’s business. This is an exciting opportunity to join an emerging team at Figma where you will play an active role in shaping our long-term partner strategy. You will build new revenue-focused partner programs from scratch and scale our existing motions to better serve customers as Figma’s platform continues to evolve. This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States. What you’ll do at Figma: Identify, evaluate, and execute new strategic distribution opportunities that require complementary GTM partners, and onboard qualified organizations into Figma’s formal partner program Manage and grow relationships with service and commercial partners across AMER — including public sector and Federal clients — driving partner-influenced revenue and aligning on mutual success plans, critical metrics, and documented wins Partner with Figma’s GTM teams to source, scope, and progress partner-influenced opportunities, while identifying new co-marketing and co-selling motions that expand reach and unlock new use cases Evaluate and mature indirect sales motions in the context of Figma’s established sales model, recommending improvements that streamline execution and support long-term growth Educate and enable the partner ecosystem on Figma’s products, services, and AI capabilities, while building strong cross-functional relationships with Sales, Marketing, Customer Experience, Product, and other internal partners We'd love to hear from you if you have: 10+ years of professional experience in partnerships, business development, channel, or related GTM roles 3+ years of experience handling external GTM partners (e.g., SIs, agencies, consultancies, ISVs, resellers, marketplaces, or referral partners) Proven experience building partner programs or strategies from inception to execution, including defining important metrics and revenue goals Experience managing multiple strategic partner relationships simultaneously and driving measurable revenue outcomes While not required, it’s an added plus if you also have: Experience working with partners to influence or capture business within the U.S. Federal government Worked at a service organization or channel partner in a direct GTM capacity Sold to product, design, or technical audiences Familiar with UX/UI design principles, collaboration tools, or digital product development workflows Exposure to a sales methodology (e.g., MEDDICC, Command of the Message) At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Dhahran, Saudi Arabia Eram Talent is a leading Talent Acquisition Consultancy specializing in placing highly skilled professionals in various sectors, including oil and gas. We are currently seeking a Field Compliance Coordinator focused on Gas Plants Environment to join one of our prestigious clients. In this role, you will be responsible for ensuring compliance with safety and environmental regulations within gas plant operations. You will collaborate with field teams, contractors, and management to assess risks, monitor compliance, and implement effective safety measures and procedures. Background : Gas Plants Environment Coordination background JOB DESCRIPTION As a successful candidate you will be required to perform the following: • Maintain full Environmental Compliance with the Saudi Aramco Applicable Environmental requirements including SAEP, SAES, GIs and other applicable government regulations. • Implement waste management plans for hazardous, non-hazardous, and special wastes including the waste minimization, segregation, storage, transport, and disposal activities with contractors and vendors. • Conduct E&OH field audits and inspections as required. • Organize and review air emissions monitoring, wastewater sampling, soil assessments and report any non-compliances and ensure corrective actions are tracked and closed in a timely manner. • Lead initial environmental spill response coordination, reporting, and root cause analysis, and maintain site-specific Spill Prevention, Control. • Conduct regular facility environmental inspections and audits, including contractor facilities, and Track corrective action close-outs in environmental tracking systems. • Develop and promote a culture of proactive environmental management, and Deliver environmental inductions, toolbox talks, and awareness campaigns for employees and contractors. • Prepare monthly and quarterly environmental performance reports, and maintain and update the site’s Environmental Management System (EMS) in compliance with ISO 14001 Requirements • Bachelor degree in, Engineering, HSE, Science, Industrial, or in a related discipline from an accredited entity or equivalent. A Master’s Degree or PhD is preferable. • Minimum of 10-15 years of experience related to Environmental operations, Oil & Gas industry with minimum of 7 years in Oil & Gas. • Certifications (preferred) such as ISO 14001:2015 Lead Auditor, and NEBOSH Environmental Certificate, and Hazardous Waste Management Certification (e.g., RC Hazardous Waste Permit Awareness). • Strong knowledge of Environmental Management Systems (EMS) principles. • Environmental management certification. • Legal and regulatory knowledge concerning Environmental. • A good eye for Environmental and the ability to pay attention to details. • A comprehensive understanding of the Environmental Impact Assessments. • Skills in training and motivating colleagues. • Familiarity with the time reporting system. • Strong knowledge of project control. • Excellent interpersonal and communication skills. • Capacity to identify situations requiring improvement in Environment. • Excellent leadership skills and multitasking abilities.

Location: Global (Remote) Workplace: Remote DECISION INTELLIGENCE ANALYST Team: Product Location: Flexible / Remote Reporting to: VP of Product ROLE OVERVIEW Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment. The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions. The Decision Intelligence Analyst is the quality control layer for decision intelligence. CORE MANDATE The Decision Intelligence Analyst is accountable for: - Evaluating decision outputs for logical integrity and sound reasoning - Identifying patterns of judgment failure or inconsistency - Designing structured feedback loops to improve AI reasoning - Training and refining AI judgment frameworks - Defining measurable standards for decision quality This role governs the reliability of Rwazi’s decision engine. KEY RESPONSIBILITIES DECISION OUTPUT EVALUATION - Review system outputs for logical coherence and reasoning rigor - Assess signal interpretation accuracy - Identify tradeoff miscalculations or flawed inference pathways - Document recurring reasoning gaps AI JUDGMENT TRAINING - Create structured examples to refine reasoning performance - Develop edge-case libraries for training robustness - Formalize evaluation rubrics for decision quality - Collaborate with R&D to improve reasoning architecture QUALITY STANDARDS & METRICS - Define measurable criteria for decision-grade output - Track improvements in reasoning consistency - Monitor drift in output quality over time - Establish acceptance thresholds for release FAILURE MODE ANALYSIS - Identify systemic reasoning weaknesses - Surface blind spots in signal modeling - Propose structured adjustments to logic layers - Escalate structural flaws early CROSS-FUNCTIONAL COLLABORATION - Partner with Product to align quality with roadmap goals - Collaborate with R&D on advanced reasoning improvements - Provide structured feedback to Engineering when system behavior deviates ROLE IMPACT Strong performance in this role results in: - Higher confidence in decision outputs - Reduced reasoning inconsistencies - Improved explainability - Faster detection of system drift - Stronger enterprise trust This role protects the intellectual credibility of the platform. WHAT THIS ROLE IS NOT - This is not general QA - This is not surface-level data validation - This is not simple output review This role evaluates reasoning quality, not formatting correctness. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong analytical and logical reasoning ability - Experience evaluating AI systems, decision frameworks, or complex models - Comfort dissecting multi-step reasoning chains - Ability to formalize judgment criteria - Strong written clarity and structured thinking - Comfort working with ambiguity and edge cases Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields. CULTURAL FIT We value analysts who: - Obsess over reasoning integrity - Question outputs rather than accept them - Care about intellectual rigor - Prefer structured evaluation over intuition - Are comfortable holding high standards HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to critique and improve structured reasoning - Clarity of their evaluation frameworks - Depth of logical analysis - Ability to identify hidden failure modes - Their rigor in defining measurable quality standards We prioritize demonstrated reasoning discipline over titles alone. SUMMARY The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

Location: Global (Remote) Workplace: Remote RESEARCH ENGINEER Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation. The Research Engineer enables applied research through technical system construction. This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints. The Research Engineer operationalizes research velocity. CORE MANDATE The Research Engineer is accountable for: - Building research prototypes and sandbox environments - Developing evaluation tooling for decision systems - Implementing experimental system architectures - Enabling fast iteration between theory and validation - Maintaining technical research infrastructure This role bridges conceptual research and system reality. KEY RESPONSIBILITIES PROTOTYPE DEVELOPMENT - Implement experimental decision pipelines - Build modular, testable research architectures - Translate conceptual models into runnable systems RESEARCH TOOLING & INFRASTRUCTURE - Create evaluation frameworks for reasoning outputs - Build simulation environments for controlled testing - Develop benchmarking systems for decision performance EXPERIMENT ENABLEMENT - Implement A/B logic and structured experiment tracking - Optimize iteration cycles for research testing - Ensure reproducibility of experimental results SYSTEM INTEGRATION SUPPORT - Collaborate with Decision Research Scientists to encode models - Provide technical validation of research concepts - Identify engineering constraints early ROLE IMPACT Strong performance in this role results in: - Faster research iteration cycles - More reliable prototype validation - Reduced gap between research and production - Higher experimental rigor This role accelerates Rwazi’s long-term capability development. WHAT THIS ROLE IS NOT - This is not product feature engineering - This is not maintenance development - This is not short-term optimization This role builds experimental systems. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong software engineering fundamentals - Experience building experimental or prototype systems - Comfort working in ambiguous research environments - Ability to balance speed and technical rigor - Familiarity with AI pipelines or decision architectures Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to rapidly implement experimental systems - Technical clarity and modularity of their code - Comfort working with incomplete specifications - Understanding of evaluation logic and system validation - Ability to collaborate with research-oriented thinkers SUMMARY The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems. If you'd like, we can next define: - Decision Systems Fellow (elite individual contributor track) - AI Evaluation & Alignment Lead - Advanced Simulation Architect - Future Platforms Lab

Location: Global (Remote) Workplace: Remote DECISION RESEARCH SCIENTIST Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi advances decision systems — software capable of structured reasoning under real-world constraints. The Decision Research Scientist applies formal reasoning, modeling, and experimentation to real enterprise decision problems. This role operates at the boundary between research and application. It translates abstract decision theory, evaluation logic, and structured reasoning into practical system improvements that enhance Rwazi’s decision intelligence. This is applied decision research — not academic isolation. CORE MANDATE The Decision Research Scientist is accountable for: - Designing formal decision frameworks for complex enterprise problems - Modeling tradeoffs, uncertainty, and signal ambiguity - Advancing structured reasoning methodologies - Testing and validating new decision architectures - Converting research insight into system-ready primitives This role strengthens the reasoning depth of Rwazi’s decision engine. KEY RESPONSIBILITIES APPLIED DECISION MODELING - Formalize complex business questions into structured decision systems - Model uncertainty, tradeoffs, and multi-variable constraints - Design evaluation logic for ambiguous signal environments - Develop structured judgment methodologies RESEARCH-TO-APPLICATION TRANSLATION - Apply theoretical frameworks to real client use cases - Test decision logic against live or simulated environments - Identify structural weaknesses in existing decision pathways - Propose formal improvements with measurable rigor EXPERIMENTAL DESIGN - Design controlled experiments to validate reasoning enhancements - Define metrics for decision quality and output consistency - Compare alternative system architectures under defined constraints CROSS-FUNCTIONAL INTEGRATION - Collaborate with Research Engineers to prototype research concepts - Provide formal specifications to Product and Engineering - Advise leadership on long-term decision capability evolution ROLE IMPACT Strong performance in this role results in: - More reliable and explainable decision outputs - Increased reasoning depth across signal types - Expansion into new classes of enterprise problems - Stronger structural defensibility This role deepens Rwazi’s intellectual core. WHAT THIS ROLE IS NOT - This is not feature delivery - This is not surface-level analytics - This is not academic research detached from application This role requires rigorous thinking applied to real-world constraints. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong grounding in decision theory, systems modeling, or applied reasoning - Experience formalizing ambiguous problems into structured frameworks - Comfort working with AI systems and reasoning architectures - Ability to design and evaluate experiments rigorously - Intellectual independence and systems thinking Candidates may come from applied AI research, quantitative modeling, computational social science, economics, operations research, or advanced analytics domains. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to formalize complex decision problems - The rigor and clarity of their reasoning models - Evidence of applying theory to practical systems - Depth of structured thinking - Their ability to improve decision quality measurably SUMMARY The Decision Research Scientist advances Rwazi’s applied decision intelligence by turning complex reasoning into structured, validated system logic.

Location: Global (Remote) Workplace: Remote Product Analyst Location: Global (Remote) Reports to: VP of Product Employment Type: Full-time MISSION AT RWAZI Rwazi’s AI-powered SaaS platform serves enterprise clients who rely on decision-grade data and actionable intelligence. The Product Analyst owns the quantitative visibility layer of the product. This role analyzes user behavior, product performance metrics, feature adoption, and retention signals to inform product strategy and roadmap decisions. The Product Analyst ensures product decisions are grounded in evidence, not intuition. CORE MANDATE The Product Analyst is accountable for: - Measuring and interpreting user behavior across the SaaS platform - Tracking feature adoption, engagement, and retention metrics - Identifying friction points and drop-offs - Translating behavioral data into actionable product insights - Providing structured recommendations to VP of Product This is a product intelligence role embedded inside product execution. KEY RESPONSIBILITIES USER BEHAVIOR ANALYSIS - Track user journeys across dashboards, workflows, and modules - Identify usage frequency patterns across accounts - Analyze session depth, repeat usage, and expansion signals - Detect behavioral differences across verticals and enterprise segments FEATURE PERFORMANCE & ADOPTION - Monitor new feature launch performance - Track adoption velocity and engagement rates - Identify underutilized features and diagnose causes - Support A/B testing and experiment analysis RETENTION & EXPANSION METRICS - Measure account-level retention and churn indicators - Identify signals predictive of expansion or contraction - Build cohort analyses across industries and client tiers PRODUCT KPI GOVERNANCE - Define and maintain core product metrics - Ensure data accuracy and consistency across dashboards - Maintain product performance reporting cadence (weekly/monthly) INSIGHT GENERATION & STRATEGIC INPUT - Translate data into clear, structured insights - Provide recommendations to VP of Product and cross-functional teams - Surface early warning signals affecting product health ROLE IMPACT Strong performance in this role results in: - Data-driven roadmap decisions - Faster detection of product friction - Improved feature adoption rates - Higher retention and expansion metrics - Reduced reliance on anecdotal product feedback This role strengthens the intelligence behind product evolution. WHAT THIS ROLE IS NOT - This is not a passive reporting role - This is not general business analytics disconnected from product - This is not ad-hoc dashboard building only This role requires structured reasoning, proactive insight generation, and product fluency. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 3–6+ years in product analytics or SaaS analytics roles - Strong fluency in SQL, data modeling, and analytics tooling - Experience working closely with Product teams - Ability to conduct cohort analysis, funnel analysis, and retention modeling - Strong quantitative reasoning and pattern recognition - Comfort translating data into executive-level insights Candidates may come from high-growth B2B SaaS, marketplace platforms, or data-intensive environments. CULTURAL FIT We value analysts who: - Think in systems and causal relationships - Question assumptions and validate with data - Prefer clarity over complexity - Move quickly and iterate - Are comfortable operating with executive visibility This role is suited for individuals who enjoy turning behavioral data into product advantage. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to interpret behavioral product data - Clarity and rigor of their analytical reasoning - Experience building actionable product insights - Comfort working with ambiguity and incomplete signals - Their ability to influence product decisions through evidence We prioritize demonstrated analytical capability and product impact over resumes alone. SUMMARY The Product Analyst ensures Rwazi’s product evolves based on measurable user behavior and performance signals. This role strengthens the product intelligence layer and enables disciplined, data-driven product growth.

Location: Global (Remote) Workplace: Remote Head of Research & Development (R&D) Location: Global (Remote) Reports to: CEO Employment Type: Full-time MISSION AT RWAZI Rwazi’s long-term advantage depends on expanding the frontier of what decision systems can reason about. The Head of R&D owns long-horizon capability development — exploring, prototyping, and formalizing the next generation of decision intelligence that will power future versions of Rwazi’s platform. This role operates beyond immediate roadmap pressures. It identifies structural opportunities in reasoning systems, signal modeling, AI-assisted judgment, and decision automation — and transforms them into foundational capabilities. The Head of R&D defines what Rwazi becomes 3–5 years from now. CORE MANDATE The Head of R&D is accountable for: - Advancing future decision system architectures - Formalizing higher-order reasoning capabilities - Exploring new signal classes and evaluation logic - Identifying structural AI leverage points - Converting research into reusable system primitives This is a capability-building role, not a feature-delivery function. KEY RESPONSIBILITIES LONG-HORIZON CAPABILITY EXPLORATION - Identify unsolved reasoning challenges within Rwazi’s domain - Explore advanced decision frameworks beyond current product constraints - Develop conceptual models for higher-order AI reasoning systems - Investigate new signal environments and structured judgment methods PROTOTYPE & FORMALIZATION - Build experimental prototypes to test new system architectures - Formalize reasoning patterns into structured logic frameworks - Create reusable primitives that Product and Engineering can adopt - Document system logic in technically rigorous formats AI & DECISION SYSTEMS ADVANCEMENT - Push beyond current signal-to-output pipelines - Explore multi-layer reasoning and tradeoff modeling - Design evaluation criteria for increasingly complex decisions - Anticipate future enterprise use cases and model their structural requirements STRATEGIC INTERFACE WITH EXECUTIVE LEADERSHIP - Advise CEO on long-term technical differentiation strategy - Translate research insights into strategic investment decisions - Identify potential defensibility moats RESEARCH GOVERNANCE - Define standards for experimentation rigor - Establish evaluation frameworks for prototype validation - Maintain clarity between exploratory work and production systems ROLE IMPACT Strong performance in this role results in: - Structural differentiation in decision intelligence - New classes of solvable enterprise questions - Expansion of AI-assisted reasoning depth - Long-term defensibility against competitors - Research-driven product evolution This role ensures Rwazi does not stagnate at feature-level innovation. WHAT THIS ROLE IS NOT - This is not roadmap feature delivery - This is not short-term optimization - This is not pure academic research detached from application - This is not reactive problem-solving This role requires frontier thinking and disciplined formalization. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Deep systems thinking and formal reasoning ability - Experience designing structured decision frameworks - Strong understanding of AI systems, modeling logic, or computational reasoning - Ability to translate abstract research into usable system components - Comfort operating autonomously at high strategic altitude - Demonstrated work on complex, ambiguous problems Candidates may come from applied research, AI system design, computational modeling, advanced analytics, or technically rigorous environments. CULTURAL FIT We value leaders who: - Think in decades, not quarters - Formalize ideas with intellectual rigor - Challenge existing system boundaries - Operate independently without constant direction - Care about structural innovation over incremental gain This role is suited for builders who want to shape the long-term intelligence core of an AI-native company. How Candidates Are Evaluated Candidates are evaluated based on: - Their ability to formalize complex reasoning into structured systems - Evidence of pushing technical or decision boundaries - Clarity of thought in ambiguous domains - Ability to design experiments with rigor - Strategic alignment with long-term capability building We prioritize demonstrated intellectual depth and system-building ability over conventional titles. SUMMARY The Head of R&D defines the next generation of Rwazi’s decision intelligence. This role ensures that as the market evolves, Rwazi advances beyond incremental product iteration — and continues to expand the frontier of what enterprise decision systems can reason about.

Location: Australia Workplace: remote Overview   Are you passionate about languages, writing, and quality evaluation? We are launching an exciting language evaluation project and are looking for Mandarin-speaking experts to join our team.  In this role, you will contribute to training AI systems to better understand, generate, and refine language by performing structured evaluation and writing tasks, all from the comfort of your home and on a flexible schedule.    What you will do:  - Evaluate AI-generated responses for accuracy, grammar, and cultural relevance.  - Identify issues and provide refined, high-quality rewritten responses.  - Create natural prompts and responses in Mandarin to improve conversational datasets.  - Collaborate with global teams to help improve AI language models.     Project Details:  - Duration: 4 weeks. - Rate: $40USD/hour - Commitment: ~10 to 20 hours/week (flexible schedule). - Job Type: Freelance contract. - Location: Remote   Requirements:  - Background as a teacher (preferred but not a must) or experience in teaching/writing in Mandarin.  - Excellent written communication and strong grammatical accuracy.  - Familiarity with cultural nuances in Mandarin. - Comfortable with structured tasks such as: preference ranking (factuality & locality), prompt-response writing, grammaticality checks, provision & improvement of text.   Note: Please do not use VPNs or IP-masking tools during the recruitment process — our security system requires accurate regional verification.      Job reference: #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Annapolis, MD To provide personal and asset protection for patients, visitors, and employees throughout the Medical Center facility, and to prevent any potentially hazardous conditions through continuous monitoring of all areas. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Maintains personal and asset security by conducting complete and through hazard surveillance rounds with strong emphasis on protecting patients, staff, and hospital property. Monitor radio communication, telephone, and written notes for daily information; uses various methods of communication to include electronic and manual. When stationed in the Control Center responsible for the continuous monitoring of the CCTV for unwarranted actions and maintain the written/computer logs and email correspondence as per established policy. Responds timely to all emergency calls throughout the facility following established guidelines. Respond quickly, calmly, and effectively in emergency situations, including assisting with patient restraints as needed. Manage emergency situations and ensure execution of disaster plans; notify appropriate leadership of emergency situations. Conducts preliminary investigation into thefts, shortages and other complaints involving potential criminal misconduct by questioning individuals involved with specific incidents. Keeps supervisor informed at all times. Prepares and submits written reports, investigations, and daily events in a complete, timely and accurate manner. Logs all responses and incidents. Conducts various levels of personal safety screening for weapons, contraband and any other unauthorized items permitted in the facility using different forms of manual and electronic screening devices to ensure a safe environment of care to heal, work and learn. Participates in crisis intervention with staff, patients, visitors, and others, to restore and maintain order as quickly and safely as possible by applying the knowledge of growth and development across the life span to the care of patients. Provides staff education on safety topics and trains new Officers in all department policies and procedures. Performs regular patrols of assigned areas on main campus and its satellite office buildings and regularly inspects designated facilities, fire extinguishers, helipads, alarm systems, close circuit cameras, and other security equipment as required; address and/or report any concerns and or issues. Maintains accountability for valuables/property and other forms of evidence, ensures safekeeping, and maintains documentation. Assists with keys, verify and issue contractor badges, provide on campus traffic control, parking enforcement, monitors building systems. Readies and secures helicopter landing area. Escorts medical personnel to patient location. Provides support for patient transport. Provides safety escorts and assistance for staff, visitors and patients as requested. Contributes to the achievement of established department goals and objectives and adheres to department policies, procedures, quality standards, and safety standards. Perform fire drills as required. May have to work other shifts, as necessary. Adheres to and exhibits our Luminis Health RISE values committing to a culture of Respect, Inclusion, Service, and Excellence. Attend staff meetings and complete mandatory in-services, requirements, and competency evaluations on time. Understands regulatory requirements regarding compliance and all other laws and regulations that apply to the organizational operations (e.g., Code of Conduct) and how these regulations apply to the individual's role/ department/ unit. Proactive in addressing compliance issues; reporting through appropriate channels such as supervisor, chain of command and Ethics Point. Completes mandatory introductory and ongoing training within the specified timeframes. Maintains current knowledge in present areas of responsibility (i.e., self-education, attends ongoing educational programs). Works collaboratively and supports efforts of team members. Demonstrates exceptional customer service and interacts effectively with physicians, patients, residents, visitors, staff, and the broader health care community. Educational/Experience Requirements: High school diploma or equivalent required; however, candidates without a diploma or equivalent may substitute one additional year of verified security experience. At least one (1) year of Health care Safety and Security experience preferred. Must pass a criminal records background check prior to employment. Possess strong verbal, interpersonal communications skills and excellent customer service. Successfully complete Conflict Management training and demonstrate the ability to non-escalate, de-escalate and ensure safe physical stabilization tactics within six (6) months. License/Certifications: IAHSS Basic Officer Certification preferred, required for any promotion. Must possess and maintain a valid Maryland driver’s license or valid license from the state in which the employee resides with no more than two (2) Points on current driving record. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands – Heavy Exerting more than 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently, and/or in excess of 20 pounds of force constantly to move objects. The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Luminis Health Benefits Overview: Medical, Dental, and Vision Insurance. Retirement Plan w/employer contribution. Paid Time Off. Employee Tuition Assistance Benefits. Employee Referral Bonus Program Employer Paid Holidays, Disability, and Life/AD&D for full-time employees Wellness Programs/Employee Assistance Programs and more The pay transparency ranges represent the low and the high end of Luminis Health’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate’s skills in relation to the job requirements, work experience, market conditions, education/training, and other qualifications. Luminis Health offers a total rewards package that supports our employees’ health, life, career, and retirement. Pay Range $20 — $25 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms. Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality. Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces. Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company. Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation. Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows. Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution. We'd love to hear from you if you have: 4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale. A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team. Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products. Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows. A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments. While not required, it’s an added plus if you also have: Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you. Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features. Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling. A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations. Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation. Experience scaling and mentoring high-performing teams through platform expansion or major architectural change. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're growing our Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations, and to ship AI-powered products that customers rely on directly. As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You’ll also be building things that WorkOS customers use, and systems that the entire company depends on daily. You'll work on a small, high-ownership team that: - Chooses problems based on measurable impact - Moves from idea → prototype → production in days or weeks - Ships at both layers: internal leverage and customer-facing product - Adapts quickly as models, tools, and best practices evolve This is a 0→1 role with company-wide visibility. What you'll do - Design and ship customer-facing AI products like ask.workos.com http://ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces we haven't built yet - Build internal tools that become part of people's daily work: agents, automations, and workflows that are stable, observable, and easy to maintain - Work on big bets: a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship - Use LLMs, embeddings, retrieval, and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services - Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows that span multiple apps and data sources - Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infrastructure that compound over time Example problems you might work on - A sandboxed coding harness that can safely take a bug report or feature spec all the way to a deployed change - A unified bot framework that powers every AI touchpoint, internal and customer-facing from a single, observable backbone - A GTM intelligence layer that gives reps live account context, meeting prep, and follow-up from CRM, product usage, and conversation history - Turning noisy, cross-tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions - Infrastructure that lets any WorkOS team ship a reliable internal AI app without reinventing the stack What we're looking for - You've taken AI-powered systems from idea to production and through at least one iteration cycle with real users - Strong engineering fundamentals. You're comfortable owning services, data flows, and integrations end-to-end - Experience building with LLM APIs - You think about failure modes, observability, and ownership, not just whether the demo works - Bias toward action. You care less about the model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn't do before - Comfort with ambiguity and fast change. The problem, the tools, and the "right" patterns are all evolving, you're excited to help define them Nice to have - Prior work on customer-facing AI products - Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents - Exposure to MCP or similar protocols for connecting AI agents to real systems Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.