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: 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: Office Based - London, UK
Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS in the cloud.
In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.
The role of a Sales Development Representative at Canonical
Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.
Click
HERE
to watch our SDR team discuss their role in Canonical
What your day will look like
Handle inbound customer inquiries across email, phone and chat
Execute outbound sales & marketing campaigns
Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
Collaborate across multiple teams and senior stakeholders to drive results
Work directly with marketing on campaigns
Research information about prospective customers
Generate a multi-million pound pipeline
Identify prospects and market trends
Help define the processes and policies for the team
Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
Accurately create, update, maintain and nurture leads on global opportunities
What we are looking for in you
Excellent academic results at school and university
Passion for business and technology
Commitment to continuous learning and improvement - curious, flexible, scientific
Creative problem solving and cross team collaboration
Verbal and written communication skills
Result driven with an over-achiever spirit
Persistence & perseverance
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Personal learning and development budget of 2,000USD per year
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: United States - Remote
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
WHY YOU SHOULD JOIN OUR TEAM
You’ll win and grow Smartcat’s largest enterprise relationships, owning a small set of named strategic accounts and new enterprise prospects and running the full sales cycle. Our largest customers often start with Smartcat in a single team, and the opportunity is to change how the whole organization creates and adapts content across marketing, product, and other functions, replacing work it pays agencies, language service providers, and internal teams to do today. You’ll lead a cross-functional account team that includes AI Strategists, who run consulting-style assessments of a customer’s current and future state and develop the recommendations and business case you’ll use to win. As our offering grows, you’ll help shape how Smartcat sells to the enterprise.
MISSION
Win and grow Smartcat’s largest enterprise relationships by turning an initial foothold into a funded, multi-year content transformation across a customer’s functions, business units, and markets, building executive sponsorship from the project team to the C-suite.
OUTCOMES
Win new business and expand strategic accounts by running the full sales cycle, from outbound prospecting and discovery through negotiation, signature, and expansion
Turn an initial foothold into a broader content transformation across functions, business units, and markets, opening new buying centers before an active project exists
Build relationships from project teams to the C-suite, developing several champions and reaching the executive who owns the business outcome and the budget
Lead the value conversation yourself, building a quantified business case covering cost, speed, capacity, and quality, and partner with AI Strategists to deepen it through current- and future-state assessments
Negotiate customized multi-year agreements through procurement, legal, security, and AI governance reviews, protecting value rather than discounting
Lead the account team around one account strategy, including AI Strategists, Solutions Engineers, Technical Account Managers, Forward Deployed Engineers, Product, and executives, with delivery scope agreed before close
Forecast accurately, call risk early, and bring customer insight back to Product to shape our enterprise offering and sales playbook
HOW YOU’LL RAMP
By Day 30:
Learn Smartcat’s platform, AI agent capabilities, and enterprise value story, along with how AI Strategists, Solutions Engineers, Technical Account Managers, and Forward Deployed Engineers each contribute to an account
Get oriented on your named strategic accounts and target prospects: current footprint, key stakeholders, buying centers, and whitespace
Meet your account team partners across AI Strategy, Solutions Engineering, Technical Account Management, Product, and leadership
By Day 60:
Have an account strategy in place for each named account, with a plan to open new buying centers and build champions across functions
Be running outbound and discovery on selected new enterprise prospects
Begin building quantified business cases for priority accounts, with AI Strategists where an assessment will strengthen them
By Day 90:
Have active, multi-threaded opportunities in your accounts, with relationships reaching executive sponsors who own the business outcome and the budget
Present a business case to a customer executive, and be moving at least one opportunity toward a funded multi-year agreement
Deliver an accurate forecast, with risk called early
WHAT YOU’VE ACCOMPLISHED
10+ years of enterprise software sales experience, including 5+ years owning strategic or named enterprise accounts
A track record of personally creating and closing large, multi-year enterprise agreements, ideally eight figures in total contract value, and growing them afterward
Experience turning a narrow initial use case into a larger, funded initiative across a customer’s organization
Proven ability to sell to C-level executives and navigate complex buying groups across business, technical, finance, procurement, and legal stakeholders
Skill in building a quantified business case with customers, and fluency in structured methods such as MEDDPICC
Experience leading a virtual team of solution consultants, services, and customer success colleagues across reporting lines while keeping accountability for the deal
Comfort creating and closing opportunities with an evolving offering and lean infrastructure
Experience selling platform, data, security, or workflow software to large enterprises; experience with content, marketing, or localization technology is a plus
Excellent written and verbal communication, and the judgment to challenge customers and disqualify weak opportunities
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Belfast, Northern Ireland, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.
Your new role
In this role, you’ll join as a Software Engineer II on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group.
The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners.
This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager.
How you’ll make an impact
Deliver small-to-medium features independently, with some initial guidance, contributing across much of the team’s domain and components.
Collaborate with Product, Design, and other stakeholders to drive requirements for the work in front of you, and make well-reasoned design decisions at a component level, understanding the trade-offs involved.
Write code with testability, readability, and maintainability in mind.
Troubleshooting and incident management efforts, helping Senior Engineers to resolve critical production issues and improving system reliability.
Actively seek to learn about new technologies and trends, and how they might apply to what we’re building.
Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs.
Consistently contribute to team documentation, sharing what you learn with the squad, and providing useful feedback during estimation and in retrospectives.
Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise.
What will set you up for success
Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience.
3+ years of experience in software engineering post graduation.
Good experience in the .Net and C# ecosystem.
Working knowledge of architectural patterns for distributed systems (e.g., microservices, event-driven architecture using Kafka), and the judgement to weigh design trade-offs at a component level.
Experience working with cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
Applicant Privacy Notice (United Kingdom)
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Sweden
About the Role
In this role, you will contribute to Cloudflare's revenue generation engine by delivering pipeline at scale to the Sales counterparts. You will do this through a maniacal focus on people, process, and tools. The Business Development organization is anchored in a culture focused on the development & training of its employees, incubating talent across the company, teamwork, and celebrating success. With flawless execution, we believe the Business Development organization will be a competitive differentiator for Cloudflare.
Responsibilities
This is a great opportunity to be a member of our high performing Sales team at a hyper-growth technology company. The Business Development Representative (BDR) will:
Be the first point of contact for customers that need help finding solutions
Develop your customer centric sales skills to deliver a stellar customer experience
Learn Cloudflare’s products and services in detail
Similar to other roles that Cloudflare, this role has a tenure requirement of 18-24 months before you may be eligible to apply for another role within the company.
Languages required: Danish, Norwegian or Swedish
This is a great opportunity to be an early member of a high performing sales team at a fast growing technology company. We are looking for ownership-oriented team members with excellent communication skills and technical curiosity. As the Business Development Representative (BDR), you will:
Create excellent customer experiences
Learn customer-centric sales skills
Become an expert in Cloudflare’s product
Team members have opportunities to move into roles across the organization, especially in mid-market sales, customer success, solutions engineering, and sales operations
Day in the Life of BDR at Cloudflare
Own and meet target quota related to number of qualified opportunities, response SLA, value of sales pipeline, and revenue
Develop new business opportunities from inbound and marketing-generated leads
Discover pain points and use case, map them to broad set of Cloudflare solutions and qualify for Enterprise sales opportunities
Work cross-functionally with stakeholders (account executives, marketing, sales operations, fellow BDRs)
Report, track, and manage sales activities and results using SFDC
Play an active role in the creation and iteration of team processes
Desirable Skills, Knowledge, and Experience
Examples of desirable skills, knowledge and experience
Self-motivated; entrepreneurial spirit
Ability to work as part of a team or independently
Analytical, organization and time management skills
Comfortable working in a fast-paced, dynamic environment
Strong interpersonal communication skills
Customer-oriented mindset with empathy and curiosity
Aptitude to learn technical concepts/terms
Ability to manage multiple tasks/projects simultaneously
Minimum 1 years of experience in BDR or in a similar capacity in technology industry is preferred, specifically in SaaS will be a plus
Experience in Outreach and Salesforce is a plus
Misc.
Note: This is an open application.
Compensation
For Sweden based hires: Estimated annual salary is between 418K-574K Swedish SEK.
This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Taiwan (Remote); Canada (Remote); Australia (Remote); China (Remote); USA (Remote); UK (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW are looking for an experienced
Quant Researcher
to join our global commodities trading team to aid in alpha generation, research, development, and maintenance of analytics infrastructure.
Responsibilities:
Developing systematic trading strategies and alpha generating signals across commodity markets
Enhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading
Analyze large, diverse datasets to identify trends as well as building and maintaining models to support trading decisions. Including the use of AI and LLM’s
Extract and organize data from a number of source options, performing quantitative analysis in support of trading
Assist in the development of analytical tools
Translate business needs into data science projects
Collaborate with stakeholders at each stage of project
Communicate projects and results to audiences with different backgrounds
Create and maintain post-trade diagnostics tools across various strategies
Qualifications:
A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
Experience using AI and LLM’s
Passion and interest for a quant researcher role solving real-world business problems
Minimum of two years' experience in alpha generating role
Experience working with large datasets, data cleaning, preprocessing, and feature engineering
Experience building, validating, deploying, monitoring, and updating predictive models
Excellent programming and scripting skills
Experience working independently and delivering results
Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
Strong collaborative intent, strong outcome driven focus
Positive, team focused attitude
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#JW1
Location: 2405 Satellite Boulevard Suite 200, Duluth, GA 30096
Come join our team!
There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen.
Headquartered in San Francisco and founded in 2007, our company has over 3,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.
Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!
JOB OVERVIEW:
We are seeking a highly experienced Senior Claims Advocate with expertise in both workers’ compensation and liability claims to deliver exceptional claims management, strategic advocacy, and risk mitigation support to our clients. The ideal candidate will have a strong background in multi-jurisdictional claims handling, including workers’ compensation and liability lines such as general liability, auto, and property and demonstrate analytical skills and a client-focused mindset.
LOCATION:
Duluth GA, this is a hybrid position, with a minimum of three in-office days per week.
WHAT YOU’LL DO:
Claims Advocacy & Oversight
Manage and advocate for complex claims across both workers’ compensation and liability lines from initial reporting to final resolution.
Serve as a trusted advisor to clients, delivering strategic guidance to reduce claim costs and improve outcomes.
Partner with carriers, TPAs, and legal counsel to ensure appropriate claim handling, reserving, and settlement strategies.
Identify claim trends across multiple lines and propose tailored solutions to reduce loss experience.
Support clients in challenging denials, negotiating settlements, and intervening in escalated cases.
Client Consulting & Risk Mitigation
Provide consultative support on injury and incident management, return-to-work strategies, and liability exposure, and overall claim risk.
Prepare and present client-facing settlement and reserve recommendations aligned with exposure analysis, jurisdictional factors, and risk-management objectives.
Facilitate claim review meetings and prepare detailed reports that communicate claim status, trends, and recommendations.
Collaborate closely with the account service team to ensure coordinated client strategy, consistent communication, and effective execution of claims initiatives.
Partner with client risk, safety, legal, and HR teams to implement proactive measures aimed at reducing claim frequency and severity.
Carrier, TPA & Legal Liaison
Interface with carriers, TPAs, and attorneys to ensure effective, timely, and client-centered claim resolution.
Advocate for appropriate reserving practices, equitable settlements, and consistent claims service.
Participate in settlement negotiations and mediation where appropriate.
Compliance & Regulatory Awareness
Maintain current knowledge of workers’ compensation and liability laws, litigation trends, and best practices across jurisdictions.
Ensure clients remain compliant with regulatory requirements, including reporting obligations and safety protocols.
Data Analytics & Reporting
Analyze loss data across lines of coverage to identify trends, gaps, and opportunities for improvement.
Prepare and deliver client-facing analytics reports with strategic insights and practical recommendations.
WHAT YOU’LL BRING:
Experience: Minimum 5 to 10 years of claims experience across workers’ compensation and liability lines (GL, Auto, etc.), with a background in brokerage, TPA, or carrier environments.
Technical Expertise: Strong knowledge of multi-jurisdictional laws and best practices in both workers’ compensation and liability claims.
Client-Facing Skills: Demonstrated ability to build relationships, influence outcomes, and communicate effectively with all stakeholders.
Analytical Ability: Skilled in data analysis, claim reviews, and trend identification.
Technology: Proficient in claims management systems, Excel, and reporting tools.
Preferred Education & Certifications
Bachelor’s degree in Risk Management, Insurance, Business, or a related field preferred.
Industry designations such as AIC, ARM, CPCU, or CLCS strongly preferred.
COMPENSATION:
The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data.
WHY EPIC:
EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer:
Generous Paid Time off
Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
Generous employee referral bonus program of $1,500 per hired referral
Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!)
Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
We’re in the top 10 of property/casualty agencies according to “Insurance Journal”
To learn more about EPIC, visit our Careers Page:
https://www.epicbrokers.com/about/epic-careers/
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EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at:
https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf
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Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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