Location: Independence, MO, United States
Armed Security Guard (Full-Time)
Why IDS?
IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients.
Outstanding past performance built IDS’s reputation as the leading provider of support for multifaceted operations.
IDS International is looking for a full-time Armed Security Guard to support our contract overseeing the Truman Presidential Library in Independence, Missouri and will report to our Program Manager.
Responsibilities:
Maintain a high level of visibility at all times and surveil visitors in the Library and Museum for suspicious activities.
Patrol the interior and exterior of the facility, as well as monitor a closed-circuit television feed to prevent unauthorized access and limit other incidents.
Secure and monitor access points during hours of operation, search bags as needed and monitor visitors throughout the facility.
Guards will register guests into the research room and ensure rules and protocols are followed.
When required, detain violators and prepare detailed incident reports.
Attend and provide security during special events and VIP visits involving high profile government officials.
Required Qualifications:
Be a citizen of the United States AND be at least 21 years of age
Have the ability to pass all pre-employment physicals and testing as the job requires standing for extended periods of time
Received a minimum high school diploma or GED
Three years of military, security or law enforcement experience within the last 5 years
Applicants should be proficient with firearms and pass a firearms qualification course
Have working knowledge of Microsoft Office
Shifts available:
Night shift
Location: United States
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Claude Code is your pair, not a checkbox.
What you'll do
Run weekly customer calls and turn what you hear into a scoped build with dates.
Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change.
Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails.
Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs.
QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case.
You'll fit if
You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers.
SQL is your first language and Python a comfortable second.
You've used Claude Code, Codex or Cursor for real work and can say where they go wrong.
You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision.
English C1 or better.
Helps
Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow.
What we offer
Remote-first environment
Medical and dental benefits
401(k) plan
Paid time off and US holidays
Professional development reimbursement
Location: (Multiple States), United States
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Competitive compensation
Medical and dental benefits
401K plan
Unlimited PTO
Paid holidays
Professional development reimbursement
Location: (Multiple States), United States
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Competitive compensation
Medical and dental benefits
401K plan
Unlimited PTO
Paid holidays
Professional development reimbursement
Location: Gurugram, Haryana, India
NEOLYTIX
Associate / Sr Associate – AR (RCM)
Accounts Receivable & Denials · US Healthcare
LEVEL
Associate / Sr Associate
EXPERIENCE
1+ Yr / 3–4 Yrs
LOCATION
Gurugram (Onsite)
SHIFT
Night (US Hours)
Two openings, one team —
Associate requires a minimum of 1 year in US healthcare AR calling; Senior Associate requires 3–4 years with denials depth. Apply to the level that matches your experience.
About the Role
Neolytix is a US-headquartered healthcare MSO serving 270+ provider organizations. Our AR team works US insurance receivables end-to-end — following up with payers, resolving denials, and driving collections for physician groups and specialty practices.
Associates own payer follow-up and claim-status resolution on assigned buckets. Senior Associates handle complex denials, appeals, and aged AR, and act as first-line quality support for the pod.
Key Responsibilities
Core (Associate & Sr Associate)
Work assigned AR buckets — call US payers on claim status, underpayments, and non-payment, and document actions clearly in the billing system.
Analyze EOBs/ERAs, identify denial reasons (CARC/RARC), and take corrective action — rebill, reprocess, or escalate.
Meet daily productivity and quality targets (claims worked, resolution rate, call quality).
Maintain HIPAA-compliant handling of PHI at all times.
Additional (Sr Associate)
Own complex denials and appeals — draft appeal letters, track appeal TAT, and follow through to overturn.
Work aged AR (90+/120+) with root-cause notes that feed prevention, not just recovery.
Support the TL on quality — spot-check documentation, coach new associates on payer-specific nuances.
Skills & Experience
Must-Have
Associate: minimum 1 year in US healthcare AR calling (provider side). Sr Associate: 3–4 years with hands-on denials and appeals work.
Working knowledge of the US revenue cycle — claim lifecycle, EOB/ERA reading, denial codes (CARC/RARC), and timely-filing rules.
Experience on practice-management / EHR platforms — Epic, AdvancedMD, or Athena Health preferred; similar platforms considered.
Preferred
Multi-specialty physician-group experience.
Exposure to both government (Medicare/Medicaid) and commercial payers.
Eligibility Criteria
Education:
Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible.
Communication:
Voice-facing role — excellent spoken English with a clear, neutral accent and confident US payer-call handling, plus good written English for accurate documentation.
Work mode & shift:
Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential.
Systems:
Comfortable working in billing/EHR platforms and MS Office; good computer proficiency and clear note-writing.
Notice period:
Immediate joiners or candidates on short notice strongly preferred.
Performance Expectations
You will be measured on clear, role-specific metrics:
Claims worked per day (productivity target).
Resolution / collection rate on assigned buckets.
Call and documentation quality score (from QA audits).
Aged-AR (90+/120+) reduction and denial-overturn rate (Sr Associate).
Hiring Process
HR Screening
2 Technical Interviews
Assessment Round
HR discussion (fitment, shift, salary).
Why Join Neolytix
US Healthcare Depth
Live US provider accounts across 270+ client organizations — real RCM, not a training bench.
Clear Growth Path
Associate → Sr Associate → QA / SME / TL → AM: progression tied to performance.
Multi-Platform Exposure
Hands-on across Epic, AdvancedMD, AthenaHealth, and more — skills that travel.
Stable, Growing MSO
A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.
Location: Gurugram, Haryana, India
NEOLYTIX
Associate / Sr Associate – AR (RCM)
Accounts Receivable & Denials · US Healthcare
LEVEL
Associate / Sr Associate
EXPERIENCE
1+ Yr / 3–4 Yrs
LOCATION
Gurugram (Onsite)
SHIFT
Night (US Hours)
Two openings, one team —
Associate requires a minimum of 1 year in US healthcare AR calling; Senior Associate requires 3–4 years with denials depth. Apply to the level that matches your experience.
About the Role
Neolytix is a US-headquartered healthcare MSO serving 270+ provider organizations. Our AR team works US insurance receivables end-to-end — following up with payers, resolving denials, and driving collections for physician groups and specialty practices.
Associates own payer follow-up and claim-status resolution on assigned buckets. Senior Associates handle complex denials, appeals, and aged AR, and act as first-line quality support for the pod.
Key Responsibilities
Core (Associate & Sr Associate)
Work assigned AR buckets — call US payers on claim status, underpayments, and non-payment, and document actions clearly in the billing system.
Analyze EOBs/ERAs, identify denial reasons (CARC/RARC), and take corrective action — rebill, reprocess, or escalate.
Meet daily productivity and quality targets (claims worked, resolution rate, call quality).
Maintain HIPAA-compliant handling of PHI at all times.
Additional (Sr Associate)
Own complex denials and appeals — draft appeal letters, track appeal TAT, and follow through to overturn.
Work aged AR (90+/120+) with root-cause notes that feed prevention, not just recovery.
Support the TL on quality — spot-check documentation, coach new associates on payer-specific nuances.
Skills & Experience
Must-Have
Associate: minimum 1 year in US healthcare AR calling (provider side). Sr Associate: 3–4 years with hands-on denials and appeals work.
Working knowledge of the US revenue cycle — claim lifecycle, EOB/ERA reading, denial codes (CARC/RARC), and timely-filing rules.
Experience on practice-management / EHR platforms — Epic, AdvancedMD, or Athena Health preferred; similar platforms considered.
Preferred
Multi-specialty physician-group experience.
Exposure to both government (Medicare/Medicaid) and commercial payers.
Eligibility Criteria
Education:
Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible.
Communication:
Voice-facing role — excellent spoken English with a clear, neutral accent and confident US payer-call handling, plus good written English for accurate documentation.
Work mode & shift:
Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential.
Systems:
Comfortable working in billing/EHR platforms and MS Office; good computer proficiency and clear note-writing.
Notice period:
Immediate joiners or candidates on short notice strongly preferred.
Performance Expectations
You will be measured on clear, role-specific metrics:
Claims worked per day (productivity target).
Resolution / collection rate on assigned buckets.
Call and documentation quality score (from QA audits).
Aged-AR (90+/120+) reduction and denial-overturn rate (Sr Associate).
Hiring Process
HR Screening
2 Technical Interviews
Assessment Round
HR discussion (fitment, shift, salary).
Why Join Neolytix
US Healthcare Depth
Live US provider accounts across 270+ client organizations — real RCM, not a training bench.
Clear Growth Path
Associate → Sr Associate → QA / SME / TL → AM: progression tied to performance.
Multi-Platform Exposure
Hands-on across Epic, AdvancedMD, AthenaHealth, and more — skills that travel.
Stable, Growing MSO
A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.
Location: Gurugram, Haryana, India
NEOLYTIX
Associate / Sr Associate – AR (RCM)
Accounts Receivable & Denials · US Healthcare
LEVEL
Associate / Sr Associate
EXPERIENCE
1+ Yr / 3–4 Yrs
LOCATION
Gurugram (Onsite)
SHIFT
Night (US Hours)
Two openings, one team —
Associate requires a minimum of 1 year in US healthcare AR calling; Senior Associate requires 3–4 years with denials depth. Apply to the level that matches your experience.
About the Role
Neolytix is a US-headquartered healthcare MSO serving 270+ provider organizations. Our AR team works US insurance receivables end-to-end — following up with payers, resolving denials, and driving collections for physician groups and specialty practices.
Associates own payer follow-up and claim-status resolution on assigned buckets. Senior Associates handle complex denials, appeals, and aged AR, and act as first-line quality support for the pod.
Key Responsibilities
Core (Associate & Sr Associate)
Work assigned AR buckets — call US payers on claim status, underpayments, and non-payment, and document actions clearly in the billing system.
Analyze EOBs/ERAs, identify denial reasons (CARC/RARC), and take corrective action — rebill, reprocess, or escalate.
Meet daily productivity and quality targets (claims worked, resolution rate, call quality).
Maintain HIPAA-compliant handling of PHI at all times.
Additional (Sr Associate)
Own complex denials and appeals — draft appeal letters, track appeal TAT, and follow through to overturn.
Work aged AR (90+/120+) with root-cause notes that feed prevention, not just recovery.
Support the TL on quality — spot-check documentation, coach new associates on payer-specific nuances.
Skills & Experience
Must-Have
Associate: minimum 1 year in US healthcare AR calling (provider side). Sr Associate: 3–4 years with hands-on denials and appeals work.
Working knowledge of the US revenue cycle — claim lifecycle, EOB/ERA reading, denial codes (CARC/RARC), and timely-filing rules.
Experience on practice-management / EHR platforms — Epic, AdvancedMD, or Athena Health preferred; similar platforms considered.
Preferred
Multi-specialty physician-group experience.
Exposure to both government (Medicare/Medicaid) and commercial payers.
Eligibility Criteria
Education:
Bachelor’s degree (any discipline) is mandatory and must be completed — candidates currently pursuing a degree, or with an incomplete/dropped graduation, are not eligible.
Communication:
Voice-facing role — excellent spoken English with a clear, neutral accent and confident US payer-call handling, plus good written English for accurate documentation.
Work mode & shift:
Onsite at Gurugram, 5 days a week, on a fixed night (US-hours) shift — reliable attendance, punctuality, and roster adherence are essential.
Systems:
Comfortable working in billing/EHR platforms and MS Office; good computer proficiency and clear note-writing.
Notice period:
Immediate joiners or candidates on short notice strongly preferred.
Performance Expectations
You will be measured on clear, role-specific metrics:
Claims worked per day (productivity target).
Resolution / collection rate on assigned buckets.
Call and documentation quality score (from QA audits).
Aged-AR (90+/120+) reduction and denial-overturn rate (Sr Associate).
Hiring Process
HR Screening
2 Technical Interviews
Assessment Round
HR discussion (fitment, shift, salary).
Why Join Neolytix
US Healthcare Depth
Live US provider accounts across 270+ client organizations — real RCM, not a training bench.
Clear Growth Path
Associate → Sr Associate → QA / SME / TL → AM: progression tied to performance.
Multi-Platform Exposure
Hands-on across Epic, AdvancedMD, AthenaHealth, and more — skills that travel.
Stable, Growing MSO
A fast-growing US-headquartered organization with centres in Chicago, Gurugram, and Manila.
Location: Riyadh, KSA
Workplace: onsite
This is a role for a true hunter.
We are scaling one of the fastest-moving BNPL platforms in the region, and we are looking for a hungry, self-driven Business Development Executive to take our SME merchant acquisition engine to the next level. This is a 100% outbound sales role — there are no inbound leads and no pre-assigned deals. You'll be set up with the tools and prospect lists to hit the ground running, but building your pipeline from zero is on you.
You will own the full sales cycle end-to-end: identifying high-potential SME merchants, opening doors with founders and decision-makers, running consultative discovery, pitching game-changing financial solutions, negotiating commercial terms and driving merchants all the way through onboarding to live activation.
If you thrive in a fast-paced, high-growth, entrepreneurial environment, love the thrill of the close, and want real ownership from day one — this is your seat.
Key Responsibilities
Build the Pipeline — From Zero
• Own end-to-end pipeline generation through relentless, self-generated outbound activity.
• Use the tools and prospect lists provided as a launchpad — then take the pipeline far beyond them.
• Research and map high-potential SME merchants, verticals and micro-markets.
• Identify and engage business owners, founders and key decision-makers.
• Execute high-volume cold calling, multi-channel outreach, field visits and merchant meetings.
• Consistently generate qualified opportunities with zero reliance on inbound or marketing-sourced leads.
• Keep the funnel healthy — continuously replenish, qualify and prioritise.
• Use CRM and sales data to track your KPIs, read your funnel and sharpen conversion.
Sell, Close, Activate
• Own opportunities end-to-end: prospect > discovery > pitch > close > onboarding > activation.
• Run consultative, value-based discovery with SME owners to uncover real business pain.
• Pitch and sell BNPL, LTF and our expanding suite of merchant financial solutions.
• Deliver compelling product demos and tailored commercial proposals.
• Handle objections with confidence and drive deals to signature.
• Stay hands-on until the merchant is fully live and transacting.
Commercial & Negotiation
• Lead commercial conversations with SME merchants and articulate clear value.
• Negotiate within approved commercial frameworks to land win-win outcomes.
• Secure the right internal approvals and keep deals moving at pace.
• Escalate complex commercial matters appropriately — while retaining full ownership of the opportunity.
Cross-Functional Collaboration
• Partner closely with Risk, Scoring, Onboarding, Product and Operations.
• Understand internal requirements and constraints and work with them, not around them.
• Proactively chase down blockers and drive outstanding actions to closure.
• Act as the bridge between the merchant and internal stakeholders.
• Feed merchant insight and market intelligence back into the business.
Merchant Experience & Growth
• Support merchants through a smooth, friction-free onboarding journey.
• Drive activation and follow up post go-live to ensure adoption.
• Spot early issues, capture merchant feedback and route it to the right teams.
• Be genuinely merchant-obsessed — the relationship does not end at signature.
Product & Market Agility
• Become a subject-matter expert on BNPL and LTF.
• Ramp fast on new propositions as they launch — including SME Financing and Tabby Card.
• Adapt pitch, positioning and messaging as products, processes and market conditions evolve.
• Thrive in ambiguity — we are building as we scale.
Skills, Knowledge and Expertise
• 1–2 years of professional experience in sales, business development or another target-driven commercial role.
• Proven outbound sales and prospecting track record — you have personally generated your own pipeline.
• Demonstrated ability to create opportunities independently, from a standing start.
• Bachelor's degree.
• Fluent Arabic and English.
• Exceptional communication, presence and interpersonal skills.
• Strong commercial acumen and negotiation ability.
• Comfortable and energised by a target-driven, high-accountability environment.
• Ability to independently own, manage and forecast a pipeline.
• Comfortable working with CRM and sales data — tracking KPIs, analysing your funnel and prioritising on evidence (Excel / Google Sheets level)
• Grit, resilience, persistence and relentless follow-through.
Nice to Have (Not a Deal-Breaker)
• B2B or SME sales exposure.
• FinTech, BNPL, payments, banking or lending background.
• Financial or technology solution selling.
• Merchant acquisition or field sales experience.
• Track record selling directly to business owners and decision-makers.
• CRM proficiency and data-driven pipeline discipline.
• Strong Excel / Google Sheets and CRM reporting — pivot tables, dashboards, basic funnel analysis.
Benefits
We are an international team of inspired professionals located all over the globe.
We have an inclusive company culture, embracing diversity, integrity and transparency. We strive for work-life balance and cherish the moments you spend with your loved ones, off-work. In the same spirit as for our product, we are caring and nurturing for our employees.
Our people are granted 100% trust and freedom to apply their own vision and come up with their ideas from day 1 at Tabby. You are the one who takes responsibility for your area of work. We encourage everyone to think and make decisions like Tabby was their own business, well because it is. Our employee stock options programme is available for everyone.
You will have an opportunity to learn and grow in one of the fastest growing fin tech companies in the region
We offer you relocation support as well as we guide you through all the process.
We’ll set you up with the devices required for your work.
Location: Riyadh, KSA
Workplace: onsite
Tabby
creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
As
Information Security Engineer
, you’ll play a key part in monitoring and defending our infrastructure, applications, and cloud environments from cyber threats.
You’ll lead incident response efforts, develop and tune detection rules, investigate security events, and collaborate with cross-functional teams to strengthen our security posture.
Key Responsibilities
Security Monitoring & Detection
Monitor and analyze logs and alerts from a wide range of sources including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoints, servers, and cloud platforms.
Perform correlation of events from multiple sources to identify advanced threats and unusual patterns of behavior.
Fine-tune alert thresholds and detection logic to reduce false positives and improve signal-to-noise ratio.
Maintain dashboards and reporting to provide real-time visibility into security posture.
Incident Response & Investigation
Serve as a frontline responder for security incidents, managing incidents through their lifecycle – detection, containment, eradication, recovery, and lessons learned.
Coordinate with internal stakeholders and external vendors during high-severity incidents or data breaches.
Perform root cause analysis and forensic investigations using endpoint and network-based artifacts.
Maintain detailed incident documentation and contribute to post-mortem analysis and reports.
Threat Intelligence & Detection Rule Development
Research emerging threats and trends.
Contribute to the creation and tuning of detection rules, threat-hunting queries, and use cases across multiple platforms including cloud environments.
Maintaining CTI Platform along with the integration of the CTI feeds with the security controls to have active CTI driven detections.
Collaboration and Communication
Communicate effectively with cross-functional teams including IT, DevOps, Risk, and Compliance during incidents and investigations.
Provide concise and clear updates during incident handling to stakeholders and management.
Mentor junior analysts and assist in training efforts within the SOC team.
Skills, Knowledge and Expertise
3–4 years of experience in a SOC or cybersecurity operations role, ideally in a fast-paced fintech or enterprise environment.
Strong knowledge of security best practices, including incident handling, alert triage, log analysis, and threat modeling.
Understanding of online technologies, REST APIs, microservices, and modern application architectures.
Experience working in a culturally diverse and collaborative environment.
Familiarity with DLP, AV, and anti-malware systems from an operational monitoring perspective.
Experience with phishing detection, user behavior analytics, and security awareness campaigns.
Security certifications such as Security+, CySA+, eCIR, eCTHPv2, GCIA, or GMON (preferred but not required).
Strong communication skills, especially for coordinating incident response and writing clear incident reports.
Experience with
SIEM platforms
,
SOAR tools
,
EDR/XDR
, and
Threat Intelligence platforms
.
Familiarity with cloud environments and cloud-native logging and monitoring tools.
Scripting experience (e.g.,
Python
) to automate tasks and improve SOC efficiency.
Location: Riyadh, KSA
Workplace: onsite
BNPL businesses don't run on a single core system — they run on a chain of vendors: KYC providers doing identity
checks in milliseconds, bureau data feeding underwriting decisions, processors moving money at checkout, and
collections agencies chasing missed payments on our behalf. When any link in that chain fails, it isn't an internal
inconvenience — it's a customer who can't check out, a credit decision made on bad data, or a regulator asking why
a critical service went down with no warning.
As Vendor Risk Manager, you will own our third-party risk program end to end, from the first due diligence
questionnaire to the day a vendor is offboarded. You will be the person who can tell leadership, in plain terms,
which vendors carry the most risk and why, and you will make sure vendor failures never become customer failures.
Key Responsibilities
Due Diligence & Onboarding
Run due diligence on new vendors before contracts are signed, including financial health checks, SOC 2 / ISO 27001 review, breach history, and subprocessor mapping.
Issue a clear risk rating for every prospective vendor, with conditions attached rather than a simple pass or
fail, covering KYC, identity verification, fraud detection, credit bureau, payment processing, card issuing,
banking, and collections partners.
Sit inside the contracting process with Legal and Procurement to secure the terms that matter: audit rights,
breach notification windows, data localization commitments, exit assistance clauses, and SLAs tied to real penalties.
Risk Assessment & Ongoing Monitoring
Own vendor risk assessments across our active third-party portfolio, prioritizing critical and high-risk vendors for annual deep-dive reviews.
Build and run tiered monitoring cadences — quarterly for critical vendors such as KYC, payment processing, and banking partners, annual for the rest — tracking control drift, subprocessor changes, and
adverse media.
Maintain the concentration risk and critical-vendor register, and be ready to explain single points of failure, such as one bureau covering the majority of underwriting volume, and what the contingency plan actually
is.
Cross-Functional Partnership
Work with Product before new vendor integrations go live — you're in the room when a new checkout partner or fraud model vendor is being evaluated, not brought in after the contract is signed.
• Prepare vendor risk reporting for the Risk Committee and Board, translating control gaps and incident
trends into decisions leadership can act on.
Offboarding & Exit Management
Manage the offboarding process for exited vendors, confirming data deletion, access revocation, and transition continuity for anything customer-facing.
Ensure regulatory and contractual exit obligations are met and documented, particularly for vendors
classified as critical or important.
Skills, Knowledge & Expertise
3–4 years in third-party risk management, vendor risk, or operational risk, ideally at a payments company, lender, bank, or fintech where vendor failure has direct customer or regulatory consequences.
Working knowledge of NIST CSF, ISO 27001, SOC 2, and standardized assessment tools like SIG or
CAIQ — you know how to read a SOC 2 report and spot what's missing, not just file it away.
Familiarity with the regulatory landscape vendors sit inside: consumer credit rules, data privacy obligations
(GDPR/CCPA depending on footprint), PCI-DSS for anything touching card data, and
outsourcing/operational resilience expectations for critical third parties.
Comfort negotiating directly with vendors — you've pushed back on a processor's standard MSA, gotten a
fraud vendor to commit to a real SLA, and know when “our legal team will follow up” means the deal
needs to walk.
Ability to translate risk findings for people who don't think in risk terms, including explaining to a
commercial lead why a cheaper KYC vendor isn't worth the onboarding delay it will cause six months later.
Strong analytical skills with the ability to interpret vendor performance and control data to support
operational decisions.
Excellent communication and interpersonal skills, with the ability to interact effectively across all levels of
the organization.
Full professional proficiency in English required; Arabic is a plus.
Nice to have:
Direct BNPL or consumer credit experience — you've worked with bureau data, alternative credit scoring
vendors, or collections agencies specifically.
Hands-on experience with a GRC platform such as OneTrust, ProcessUnity, or Archer for assessment
workflows and vendor inventory.
CTPRP, CRISC, CISA, or CISM certification.
Location: Remote - US
Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit
www.bugcrowd.com
.
Job Summary
The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic, verifiable reinforcement learning environments for world-leading foundational AI companies. As a Reinforcement Learning Engineer specializing in Reinforcement Learning from Verifiable Rewards (RLVR), you will design and scale automated verification pipelines that transform real-world software vulnerabilities into deterministic reward functions. In this role, you will bridge the gap between low-level security analysis and modern LLM reasoning models, engineering environments where AI agents learn to discover, exploit, and remediate software vulnerabilities with mathematical certainty. Instead of relying on subjective human feedback, your work directly powers the rigorous, verifiable reward signals that teach next-generation frontier AI models how to master complex cybersecurity domain logic. You will work at the intersection of fuzzing, dynamic program analysis, system exploitation, and scalable ML infrastructure to shape the safety and offensive/defensive capabilities of future artificial intelligence.
Essential Duties and Responsibilities
Design, build, and deploy high-throughput RLVR (Reinforcement Learning from Verifiable Rewards) environments that evaluate LLM action sequences against deterministic execution outcomes.
Develop automated test harnesses, sandboxes, and verification engines that convert complex vulnerability research (e.g., memory corruption, web security, logic bugs) into binary pass/fail reward signals.
Integrate Bugcrowd’s Mayhem automated analysis platform and real-world vulnerability feeds into continuous, scalable RL environment generation pipelines.
Architect safe, isolated, and highly reproducible execution environments (using Docker, BuildKit, or Nix) capable of running thousands of simultaneous agent-driven exploitation and patching trajectories.
Collaborate directly with researchers at frontier AI labs including Anthropic, OpenAI, and Cohere to define standard benchmark formats, observation spaces, and verifiable evaluation metrics for cybersecurity tasks.
Implement precise telemetry, ground-truth verification algorithms, and trajectory logging to analyze agent reasoning paths and prevent reward hacking or false positives.
Build low-level instrumentation and debugging tools to monitor memory states, process executions, and network behaviors during agent interaction cycles.
Optimize infrastructure performance and environment reset latency to support massive-scale parallel sampling and distributed RL training workflows.
Benchmark and evaluate frontier AI model performance across diverse offensive and defensive security challenges, such as automated fuzzing, exploit payload generation, and patch validation.
Education, Experience, Knowledge, Skills, and Abilities
Understanding of RL training workflows used by modern LLM systems, specifically execution-based feedback or Reinforcement Learning from Verifiable Rewards (RLVR).
Proficiency developing applications in Python and low-level systems programming in C, with Rust experience being a strong plus.
Solid understanding of software vulnerabilities, binary exploitation, fuzzing methodologies, or program analysis.
Experience with DevOps pipelines (e.g., GitHub Actions), reproducible builds (Docker, BuildKit, Nix), and comfort working with Linux systems and low-level debugging.
Experience working with or building benchmark environments (e.g., CTFs, SWE-bench, security challenges, or execution sandboxes).
Preferred Experience
Experience designing custom reward functions, ground-truth verifiers, or automated grading engines for AI safety and reasoning models.
Background in low-level program analysis tools, sanitizers (e.g., ASan/MSan), compiler instrumentation, or automated exploit generation tools.
Proven track record of participating in or developing competitive cybersecurity benchmarks, CTFs, or open-source AI evaluation frameworks.
Working Conditions and Physical Requirements
The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time.
Pay Range Disclosure
At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.
The national estimate for the current base range for the position of $176,400 - $242,550.
This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Culture
At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work.
We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well.
Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point.
At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring.
Disclaimer
This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence.
The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets).
Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by
law.
Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here:
https://www.bugcrowd.com/privacy
.
Equal Employment Opportunity:
Bugcrowd is EOE, Disability/Age Employer.
Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com.
Apply at:
https://www.bugcrowd.com/about/careers/
Location: Remote; Remote - Spain; Remote - EMEA; Remote - Portugal
Workplace: Remote
About Us
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
About the Position
We're looking for a proactive and highly organized Technical Project Manager to lead customer implementations across Constructor's product suite. You will lead onboardings for new customers as well as implementations of additional products for existing customers, owning each engagement from kickoff through activation. You will own the plan, the timeline, and the outcome, and you drive the people delivering it through a matrixed reporting structure. As we build toward an automation-first operating model, you will help standardize how implementations are run and increasingly act as a portfolio strategist, managing exceptions while repeatable, AI-assisted processes carry the routine work.
You will:
• Lead multiple implementations end to end, both new-customer onboardings and additional-product rollouts for existing customers, from kickoff through integration, testing, and activation.
• Take accountability for the outcome of every implementation, coordinating Constructor resources, customer resources, and partners, against a single shared plan.
• Run kickoffs, set milestones, track dependencies, and maintain a clear, shared view of status for internal stakeholders and the customer.
• Serve as the customer's primary point of contact through activation, setting expectations and communicating progress, risks, and changes in scope.
• Identify risks and blockers early, escalate effectively, and keep implementations moving toward on-time, predictable delivery.
• Ensure clean handoffs into implementation from Sales and out of implementation to Customer Success and Support.
• Maintain implementation plans and reporting in our systems of record so schedule, duration, and status roll up cleanly across your portfolio.
• Help build the repeatable processes, templates, and standards that let the function scale, and partner on the automation-first model as it matures.
Role Responsibilities: Technical Project Management
• Own the Outcome: Be accountable for the success of each implementation from kickoff to activation, whether the work is delivered by Constructor, the customer, or a partner, standing behind on-time, predictable go-live for both new customers and existing-customer product rollouts.
• Drive Every Contributor: Coordinate Constructor technical resources, customer resources, and partners against one plan, holding each accountable to their commitments through influence rather than authority.
• Lead the Customer Experience: Serve as the primary point of contact through activation, running a clear communication rhythm and building customer confidence from kickoff to handoff.
• Manage Handoffs & Risk: Ensure accurate handoffs from Sales into implementation and from implementation into Customer Success and Support, surfacing risk early and keeping delivery on track wherever the risk sits.
• Build Scalable Process: Standardize how implementations are run at Constructor, maintain accurate tracking and reporting, and help advance the automation-first operating model as the function grows.
Requirements
You Have
• At least 3 years of technical project management or onboarding project management experience, ideally in a SaaS environment.
• A track record of owning delivery outcomes end to end and holding cross-functional contributors accountable through influence rather than direct authority.
• Excellent organizational and communication skills, with the ability to run multiple implementations in parallel without losing the thread.
• Customer-facing confidence: you can lead a kickoff, manage expectations, and keep stakeholders aligned through go-live.
• Proven ability to prioritize effectively, manage competing demands, and maintain clarity under ambiguity.
Nice to Have
• Technical fluency sufficient to direct integration specialists and translate between technical and business stakeholders.
• Exposure to ecommerce, product discovery, LLMs and familiarity with concepts like catalog data feeds, integrations and APIs.
• Experience coordinating implementations that span internal teams, customer resources, and third-party partners.
Benefits
🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
💰 A competitive compensation package including stock options
🌎 Fully remote team - choose where you live
🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
💻 Apple laptops provided for new employees
🧑🎓 Training and development budget for every employee, refreshed each year
👪 Maternity & Paternity leave for qualified employees
🧠 Work with smart people who will help you grow and make a meaningful impact
🏥 Company sponsored US health coverage (100% paid for employee)
Diversity, Equity, and Inclusion at Constructor
At http://constructor.io/Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: United Kingdom; United States; Poland; Bulgaria
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We build an ads engine that learns as it goes: brand book, taste, and what actually performs in every market. It plans, generates, localizes, launches and learns from ads across the major ad platforms, using ElevenLabs’ full audio and video stack.
You’ll be a founding engineer for a product area of your own. There’s no PM and no handed-down spec. You’ll talk to users, decide what to build, and ship it across the stack, from data pipelines and agent tools to the UI. Early work could include feeding competitive intelligence into the engine’s weekly briefs or launching a new ad format.
We’re looking for founders and founding engineers. You’d rather ship a rough v0 on Friday than a perfect design doc. Strong engineering is the minimum. What sets people apart is product judgment and ownership.
Requirements
- Has built and shipped a product end-to-end without anyone handing them a spec, ideally as a founder or one of the first engineers.
- Strong full-stack product engineer (frontend- or backend-leaning is fine) who can build a pipeline, an agent tool and the UI
- Builds with LLMs and agents pragmatically: tools, retrieval and evals, not model research.
- Talks to users without being asked, and can say what they’d build first and why.
Bonus: experience with ad platforms, adtech or marketing tools; analytics and attribution; web builders and CMSs; taste in creative.
Location
This role is remote-first, so it can be executed from anywhere between the US East Coast and India, with the ability to operate in European timezones required. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Worldwide; Poland; Serbia; Georgia; Armenia
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for a
Senior QA Engineer (Web) - split roughly 50/50 between manual and automation work.
Your main tasks will be:
Drive the quality assurance of business features from technical hand-off to successful production release.
Review specifications, prepare test plans, and create comprehensive test cases and checklists before the stabilization phase begins.
Provide realistic estimates for testing tasks and reliably meet your committed deadlines.
Conduct functional, exploratory, regression, UI/UX, cross-browser, and E2E API testing across modern web browsers and responsive viewports.
Write and maintain automated tests
(Playwright, JavaScript/TypeScript)
within our existing automation project — split roughly 50/50 between manual and automation work.
Conduct thorough test documentation and peer reviews, including test code reviews, and successfully pass reviews of your own work.
Collaborate closely with Product, Front-End, Back-End engineers, and Architects throughout the development cycle.
Support web production releases by validating builds, conducting smoke/regression checks, and monitoring live errors and performance.
Track and improve key QA metrics, including escaped defect rate and test coverage.
We expect from you:
Solid grounding in QA methodology, test design, and the overall testing process
Good understanding of web tech and client-server architecture — HTTP/HTTPS, REST, DOM, cookies, cache, local storage
Cross-browser and responsive testing experience (Chrome, Safari, Firefox, Edge, mobile viewports)
Comfortable with DevTools and debugging proxies (Proxyman, Charles, Fiddler or similar)
API testing experience — Postman, REST/GraphQL, working with test data
Hands-on with Jira,
Allure TestOps
(or similar), and Git
Hands-on automation experience with Playwright and JavaScript/TypeScript
— you write and maintain automated tests yourself, not just review or run them
Ideally some experience on a product with similar mechanics — feeds, chats, subscriptions (dating, streaming, media platforms)
Autonomous and self-organized — able to prioritize and figure things out without close supervision
Clear communicator, detail-oriented, good at problem-solving and time management
Fluent Russian and good English
— both required
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage
Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners
Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams
Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next
Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry, computational chemistry, or a related field
Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth
Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
Experience with reinforcement learning, large language models, or building evaluations and benchmarks
Track record of supporting drug discovery programs alongside medicinal and synthetic chemists
Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data
Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry
Hands-on synthetic or medicinal chemistry experience at the bench
Publications, patents, or open-source software demonstrating scientific impact
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code
Triage cases by severity and urgency and share through the appropriate channels
Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale
Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision
Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential
Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership
Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior
Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge
Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve
Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling
Contribute to regular reports on agentic harm trends and enforcement outcomes
Minimum qualifications
Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters
Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity
Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings
Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on
Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination
Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences
Have sound judgment about when a case needs escalation, and the resilience to work with difficult content
Preferred qualifications
Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so
Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter
Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist
Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Jakarta, Indonesia; Kuala Lumpur, Malaysia
Eram Talent, an ISO 9001:2015-certified division of Eram Group, delivers human resources, industrial projects, and maintenance services across a broad range of sectors, including oil and gas, petrochemicals, power, infrastructure, water, mining, healthcare, and IT. Within the oil and energy space, the company supports complex industrial operations with practical engineering expertise and a strong focus on quality, safety, and project delivery.
This role offers the opportunity to contribute to technically demanding energy projects where strong process engineering judgment can make a measurable impact. As a Process Design Engineer, you will support the development and improvement of plant systems, working across engineering disciplines to help shape efficient, safe, and reliable process solutions for industrial facilities.
If selected, the work location would be onsite at
Saudi Arabia
.
Responsibilities
Develop process designs, simulations, and engineering studies for energy projects.
Deliver FEED and detailed engineering packages for plant modifications.
Lead HAZOP reviews and ensure compliance with safety requirements.
Identify debottlenecking opportunities across brownfield and greenfield facilities.
Coordinate multidisciplinary teams throughout project planning and execution.
Requirements
Required Qualifications
Bachelor’s degree in Chemical Engineering, Process Engineering, or a related field.
7+ years of experience in process engineering or plant operations, including hands-on work in process design and process simulation.
Experience leading or participating in HAZOP reviews and delivering FEED and detailed engineering packages.
Track record of identifying or executing debottlenecking initiatives across brownfield and greenfield projects.
Proficiency with data analysis and process simulation software such as Aspen Plus and HYSYS.
Strong knowledge of gasification processes, power production, and related technologies, along with safety and environmental regulations such as OSHA and EPA standards.
Experience with process optimization methodologies, including Six Sigma and lean manufacturing.
Experience managing projects across planning, budgeting, and execution.
Experience leading multidisciplinary teams, preparing engineering reports, and coordinating effectively with cross-functional stakeholders.
Preferred Qualifications
Master’s degree in Engineering or Management.
Experience in industries such as petrochemical, refining, gas processing, chemical manufacturing, gasification facilities, fertilizer plants, power generation plants, or large industrial utility operations.
Holding a Six Sigma, Lean Manufacturing, or PMP certification.
Location: Jakarta, Indonesia; Kuala Lumpur, Malaysia
Eram Talent, an ISO 9001:2015-certified division of Eram Group, delivers human resources, industrial projects, and maintenance services across a broad range of sectors, including oil and gas, petrochemicals, power, infrastructure, water, mining, healthcare, and IT. Within the oil and energy space, the company supports complex industrial operations with practical engineering expertise and a strong focus on quality, safety, and project delivery.
This role offers the opportunity to contribute to technically demanding energy projects where strong process engineering judgment can make a measurable impact. As a Process Design Engineer, you will support the development and improvement of plant systems, working across engineering disciplines to help shape efficient, safe, and reliable process solutions for industrial facilities.
If selected, the work location would be onsite at
Saudi Arabia
.
Responsibilities
Develop process designs, simulations, and engineering studies for energy projects.
Deliver FEED and detailed engineering packages for plant modifications.
Lead HAZOP reviews and ensure compliance with safety requirements.
Identify debottlenecking opportunities across brownfield and greenfield facilities.
Coordinate multidisciplinary teams throughout project planning and execution.
Requirements
Required Qualifications
Bachelor’s degree in Chemical Engineering, Process Engineering, or a related field.
7+ years of experience in process engineering or plant operations, including hands-on work in process design and process simulation.
Experience leading or participating in HAZOP reviews and delivering FEED and detailed engineering packages.
Track record of identifying or executing debottlenecking initiatives across brownfield and greenfield projects.
Proficiency with data analysis and process simulation software such as Aspen Plus and HYSYS.
Strong knowledge of gasification processes, power production, and related technologies, along with safety and environmental regulations such as OSHA and EPA standards.
Experience with process optimization methodologies, including Six Sigma and lean manufacturing.
Experience managing projects across planning, budgeting, and execution.
Experience leading multidisciplinary teams, preparing engineering reports, and coordinating effectively with cross-functional stakeholders.
Preferred Qualifications
Master’s degree in Engineering or Management.
Experience in industries such as petrochemical, refining, gas processing, chemical manufacturing, gasification facilities, fertilizer plants, power generation plants, or large industrial utility operations.
Holding a Six Sigma, Lean Manufacturing, or PMP certification.
(Multiple States), United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ОфисWe offer you relocation support as well as we guide you through all the process
ОфисГеография найма не уточнена
ОфисГеография найма не уточнена
УдалённоRemote - US
УдалённоRemote - EMEA
УдалённоUnited Kingdom; United States; Poland; Bulgaria; This role is remote-first, so it can be executed from anywhere between the US East Coast and India, with the ability to operate in European timezones required
