Location: Australia
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Senior Manager, Security Operations Center
Location: Remote Australia
Compensation Range: $110,000 to $140,000 AUD base plus bonus and equity
What You’ll Do:
You’re a hands-on SOC Analyst who thrives on detecting and responding to cybercrime. You’ll triage Active Hands-On Keyboard intrusions, track attackers through networks, and help remove them before they achieve their objectives. You’ll contextualise endpoint telemetry, analyse logs, leverage forensic artifacts, and understand malware to uncover the full scope of an intrusion.
You give a $ht about protecting customers and improving how the team operates, taking ownership of investigations and acting on the information available. You bring Warrior Spirit to complex incidents, staying resilient and composed under pressure. You are Outcome-Obsessed, measuring your work by the threats contained, customers protected, and actionable remediation delivered. Alongside alert triage and intrusion response, you’ll support sales, collaborate with Product to shape Huntress’ MDR service and platform, and have opportunities to contribute across Incident Response, Security Operations, Threat Hunting, and Detection Engineering. We’ll also support you in sharing your work through blogs, conference talks, webinars, and research publications that build your personal brand and the broader security community.
This role follows Perth time (AWST), Monday to Friday, 8:00 am to 4:00 pm. Applicants based elsewhere in Australia are welcome, provided you are able to work these hours converted to your local time.
Responsibilities:
Triage, investigate, respond to, and remediate alerts generated by the Huntress platform.
Review EDR/SIEM telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide the remediation needed to remove the threat.
Perform dynamic analysis of malware when required to extract indicators of compromise or determine a file’s malicious intent.
Contribute to and refine detection capabilities and queue hygiene through crafting and tuning signals to address emerging threats.
Investigate activity in Microsoft 365 and Google Workspace and deliver actionable remediation advice for compromised tenants.
Continue to grow your skills and knowledge through real-world intrusion data, paid training opportunities, and responsible use of AI tools to support research, summarise findings, and accelerate routine analysis while validating outputs.
Support customer success by assisting our SOC Support team with customer/partner escalations related to threat-related and SOC-relevant questions.
Help through partnering with Product and Engineering Teams to continue to evolve Human Led Agentic workflows
What You Bring To The Team:
You have 2+ years of experience in SOC, Incident Response, Managed Detection and Response, or Digital Forensics roles.
You have demonstrated experience with at least one of Windows, Linux, or macOS, including attack surfaces, malware analysis, and basic threat actor tools and techniques.
You understand common system administration skills and how threat actors abuse them to achieve their goals, including Active Directory, PowerShell, Group Policy, and local account creation.
You are familiar with the techniques and tactics in MITRE ATT&CK, including credential dumping, lateral movement, persistence mechanisms, and exfiltration techniques.
You have a working knowledge of core networking concepts, including common ports and protocols, NAT, public and private IP addresses, and VLANs.
You have a passion for forensics and enjoy digging into logs, processes, and artifacts to understand intrusions and outmaneuver attackers.
You communicate clearly in writing and verbally, simplify complex technical findings for diverse audiences, and demonstrate self-guided learning that keeps your skills current.
You use AI to work faster and smarter in day-to-day security analysis, applying sound judgment and validating its output before acting on it.
You enjoy working with a fun, supportive team, bring a genuine team-player mindset, and help deliver great outcomes with a smile, a laugh, and a dash of witty (but accurate) memes.
A desire to hold your manager accountable for delivering ice cream at the Australian Security Offsite.
What We Offer:
Fully remote work
At least one annual trip to the US for Summer Summit, with additional local events in Australia!
New starter home office set up reimbursement ($800 AUD)
12 weeks paid parental leave for both primary and secondary carers
Monthly digital allowance for personal phone and internet costs ($185 AUD)
Monthly home office tech stipend to upgrade or replace equipment ($40 AUD)
Subsidised private health insurance through our preferred provider
Stock options for
all
full-time employees
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Applicants based elsewhere in Australia are welcome, provided you are able to work these hours converted to your local time
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
Our Customer Success team works with Webflow’s most high-impact Enterprise customers, helping them launch successfully, adapt quickly, and get the full value of our AI-native website experience platform. We’re the team that stays with customers from day one through renewal, guiding their strategy, unblocking their teams, and connecting them with the right experts across Webflow.
As the primary partner for our strategic accounts, we play a central role in their long-term success — and in Webflow’s. By driving adoption, uncovering new use cases, and championing meaningful outcomes, we influence growth, retention, and the overall strength of our Enterprise business.
We’re looking for a Senior Customer Success Manager who can step into that role with confidence: the trusted advisor who sees the big picture, the operator who can bring cross-functional teams together, and the advocate who ensures customers stay with us and grow with us because of the results we help them achieve.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Must be based in the Pacific Time Zone
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: $174,500-205,000
- Zone B: $161,700-190,000
- Zone C: $151,500-178,000
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- 166,000-195,000
For sales roles, the ranges provided are the role’s On Target Earnings (“OTE”) ranges, meaning that the ranges include both the sales commissions target and annual base salary for the role. This salary range may be inclusive of several career levels at Webflow and will be narrowed during the interview process based on a number of factors, including the candidate’s market location, job related experience, knowledge, qualifications, and skills. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy.
- Reporting to the Manager, Customer Success.
As a Senior Customer Success Manager you’ll:
- Build strong, trusted relationships across your customers’ orgs, from exec sponsors to hands-on users, and guide them through every stage of their Webflow journey.
- Get deep into your customers’ goals, workflows and tech stack so you can help them use Webflow’s platform to power more of their digital footprint.
- Lead account strategy with clarity and confidence. Rally cross-functional partners around a shared success plan that drives adoption, impact, and measurable business outcomes.
- Own renewals, forecasting, and account health. Spot expansion opportunities and new use cases, and partner with Sales on growth.
- Turn usage and consumption patterns into adoption plans, forecasts, and expansion opportunities.
- Lead discovery workshops and pilots for AI use cases. Help customers move AI agents from pilot to production and navigate rollout, adoption, and change management.
- Define success criteria and ROI with each customer.
- Run high-value executive conversations that surface progress, risks, and results and clearly show why Webflow is essential to the customer’s business.
- Partner with Sales, Technical Architects, Forward Deployed Engineers, and Services Providers to steer complex accounts toward successful launches, scalable architectures and strong renewal outcomes.
- Bring the customer’s voice back into Webflow with crisp insights that shape product direction, improve our processes, and help us deliver an even better Enterprise experience.
- Travel up to 15% (1-2x per quarter)
ABOUT YOU:
Requirements:
- BS / BA college degree or relevant experience
- 5+ years of relevant experience advising Enterprise customers in a SaaS or digital experience environment, ideally in a role where you owned adoption, renewal, uncovering expansion and long-term customer health.
- Experience managing usage, consumption or credit-based accounts. This includes tracking utilization against commitments, managing burn-down and forecasting renewals and expansion from usage trends.
- Technical aptitude across codebases, deployment pipelines, integrations, permissions and security, with the ability to partner credibly with developers. Production coding is not required.
- Experience in at least one of the following:
- Applied AI: building real AI workflows or agents, evaluating their output and setting realistic expectations.
- Digital transformation: leading complex enterprise programs involving integrated systems, workflow automation or platform migrations.
You’ll thrive as a Senior Customer Success Manager if you:
- Dig into a customer’s business using financial filings, industry research, and internal data to spot risks, opportunities, and growth paths.
- Have hands-on AI fluency: you have worked with agents, connectors, or MCP-style integrations, and you can explain AI tools to executives and technical teams in terms of business outcomes.
- Read product usage data, spot early signs of churn or underuse (such as slowing consumption, dormant users, and stalled workflows), and turn them into an action plan before renewal.
- Stay on top of details, keep cross-functional partners aligned, and maintain momentum in a fast-moving environment through strong organizational and project management habits.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Spain; Portugal; Poland; Hungary; Czechia
Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks.
In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company.
The Role
We are looking for a senior Applied AI Engineer to join Operations and improve how our business teams work. You will work directly with Support, Finance, Sales Ops, HR, IT, and Legal to turn repetitive tasks and disconnected workflows into reliable AI-powered tools and automations.
We build AI to solve real problems, not to follow hype or impress investors. You will investigate how work gets done, propose improvements, and own technical decisions and delivery. We expect you to take initiative, deliver useful results quickly, and improve solutions through short iterations and feedback.
What you’ll do
Work with teams to understand their workflows, find bottlenecks, and propose improvements. Agree process changes with the COO and relevant teams before implementation.
Build AI tools and automations that connect business systems and handle tasks such as document processing or ticket triage. Deliver working versions quickly and improve them through feedback.
Prioritize opportunities by time saved, error reduction, and risk. Measure whether solutions deliver those benefits, reduce costs, and are actually used.
Run and support what you build. Test AI outputs, keep integrations reliable as systems change, and manage failures, latency, and cost.
Protect customer and employee data through limited access, minimal exposure, and redaction before model calls. Work with IT and Security on safeguards, audit trails, and human review where needed.
Evaluate AI tools and vendors, and recommend when to use an existing solution versus building one.
Document workflows and runbooks, train teams to use the solutions, and help them identify and request further automations.
What we’re looking for
4+ years in operations engineering, business systems, automation, or a similar role, with 1+ years building production LLM or AI-enabled workflows.
Hands-on experience with workflow automation platforms and REST APIs, webhooks, JSON, and OAuth.
Strong working knowledge of prompt design, retrieval-augmented generation, and agent/tool-use patterns.
Proficiency in Python or JavaScript, and comfort with cloud services; AWS preferred.
Experience with at least one major business system, such as NetSuite, Salesforce or ServiceNow.
Ability to translate business needs into technical solutions and explain trade-offs to non-technical leaders.
Sound judgment and practical knowledge of AI security, privacy, and data governance, including least-privilege access, sensitive-data protection, data minimization, and approval controls for sensitive actions.
Nice to have
Experience with Microsoft 365 / Teams integrations and Microsoft Graph.
Background in finance, revenue, or support operations processes.
Familiarity with process mining, BI tools, or SQL.
Experience with SOC 2, ISO 27001, or similar compliance frameworks.
Relevant AWS, Azure, or security certifications.
Familiarity with IT management, RMM, or endpoint security concepts.
Experience shipping software with coding agents such as Claude Code or Codex, including harnesses, development loops, reusable skills, and context and specification management.
Hands-on ownership of production backend services/APIs, with practical database and container experience.
Systematic AI evaluation using datasets, metrics, baselines, reproducible experiments, and regression detection.
Deeper ML foundations, statistical experimentation, and model training or fine-tuning.
Experience with runtime isolation and sandboxing for sensitive execution.
What Success Looks Like
First 30 days:
Understand key workflows and systems, and deliver a prioritized automation backlog
First 90 days:
Ship 3-5 production automations or integrations with measured impact, and publish AI usage and data-handling standards
First year:
Establish a repeatable intake-to-deployment process, show clear gains in hours saved and error reduction, and make AI tooling a trusted part of daily operations
How We Measure Impact
Hours saved, cycle-time reduction, error and rework rates, automation reliability (uptime and failure rate), AI cost per task, and stakeholder satisfaction.
Benefits
Fully remote work with flexibility to support your work-life balance.
A collaborative environment that empowers you to own your domain and implement best practices.
Stable income, benefits, flexible working hours, and opportunities for career advancement.
Friendly, professional colleagues who are eager to support you and help you grow.
Engaging challenges and opportunities to make a meaningful impact.
Location: Poland; Romania; Serbia; Slovenia; Lithuania; Latvia
Intetics Inc.
, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced
Staff Data Scientist / Machine Learning Engineer
to join our dynamic team on a full-time basis.
Responsibilities:
- Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods.
- Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality.
- Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies.
- Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data.
- Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required.
- Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy.
- Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources.
- Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery.
- Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards.
- Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability.
- Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools.
- Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization.
Requirements
5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes.
Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics.
Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery.
GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises.
Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system.
Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems).
Strongly Preferred:
E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses.
Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable.
Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems.
Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work.
Nice-to-have:
Terraform, CI/CD pipeline design, Docker containerization for ML workloads.
Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation.
Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).
Location: Croatia; Czechia; Moldova; Lithuania; Albania; Costa Rica
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Estonia; Romania; Hungary; North Macedonia; Slovenia; Slovakia
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Poland; Serbia; Portugal; Spain; Latvia; Bulgaria
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Brazil; Mexico; Colombia; Argentina; Chile; Peru
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Dubai, United Arab Emirates
Role Overview
A key position providing comprehensive support to the CEO across executive priorities and selected personal matters. The role requires a proactive, organised and digitally confident professional who can operate effectively in a fast-paced environment while leveraging Artificial Intelligence (AI), automation and AI-powered agents to enhance productivity, streamline workflows and improve efficiency.
Beyond traditional executive assistance, the successful candidate will be expected to identify opportunities for AI implementation,
build and configure AI agents
, and automate repetitive tasks and multi-step workflows. They should be comfortable experimenting with emerging technologies and translating AI capabilities into practical solutions that simplify daily operations and enable the CEO to focus on strategic priorities.
The ideal candidate is composed, resourceful and highly discreet, with the ability to anticipate requirements, manage competing priorities independently and ensure that business and personal matters are handled efficiently and confidentially.
Core Responsibilities
Executive Support
Manage the CEO’s complex calendar, meetings, priorities and schedule.
Coordinate with internal and external stakeholders and ensure timely follow-up on actions and commitments.
Anticipate upcoming requirements, identify conflicts and proactively resolve scheduling and coordination issues.
Prepare meeting materials, briefings, correspondence and executive communications as required.
Track key actions, deadlines and decisions, ensuring matters are followed through to completion.
Coordinate business travel, itineraries and associated logistics.
Exercise sound judgement in determining what requires the CEO’s attention and what can be resolved independently.
Handle sensitive and confidential information with a high degree of discretion and accuracy.
AI, Automation & AI Agent Development
Build, configure and implement AI agents to support executive operations, research, scheduling, task management and administrative workflows.
Develop AI-powered solutions that automate repetitive tasks, streamline processes and reduce manual intervention.
Integrate AI tools with relevant business applications to improve information management, communication and workflow efficiency.
Implement AI-assisted solutions for meeting preparation, minutes, action tracking, document creation, research and reporting.
Identify opportunities to apply AI to everyday business challenges and translate them into practical, measurable improvements.
Test, refine and maintain AI agents and automated workflows to ensure reliability, accuracy and effectiveness.
Stay updated on emerging AI technologies, agent-building platforms and automation tools.
Apply appropriate data privacy, security and human oversight when using AI, particularly when handling confidential information.
Personal Support
Provide discreet and efficient support with selected personal matters, appointments, travel and day-to-day logistics.
Coordinate personal schedules, bookings, arrangements and other practical requirements.
Anticipate needs and resolve routine matters independently where appropriate.
Learn and consistently apply the CEO’s preferences and ways of working.
Use appropriate digital tools and automation to simplify scheduling and personal administration.
Maintain professional boundaries and strict confidentiality at all times.
Requirements
Proven experience in an Executive Assistant, Executive Coordinator or similar role, preferably supporting a CEO or C-level executive.
Hands-on experience building or configuring AI agents
, beyond basic use of ChatGPT or other AI assistants.
Practical understanding of AI tools, large language models (LLMs), workflow automation and application integrations.
Experience with platforms such as n8n, Make, Zapier or comparable AI and automation tools is an advantage.
Ability to design automated workflows and connect applications using available integrations, APIs or no-code/low-code platforms.
Strong organisational, communication, research and problem-solving skills.
Ability to work independently, anticipate needs and manage competing priorities.
High levels of discretion, adaptability, professionalism and attention to detail.
A proactive mindset with a genuine interest in using technology to improve productivity and efficiency.
Location: San Francisco; Seattle; New York City
Workplace: Hybrid
ABOUT MOTHERDUCK
Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.
ABOUT THE ROLE
We're hiring a growth marketer with a hacker brain to own the systems that make our growth engine run... lifecycle, marketing ops, and the data and automation underneath both.
If you're the person who looks at a list of signups and immediately wonders what you could learn by enriching it, splitting it five ways, and testing a different nurture on each... we'd love to meet you. You'll build the segments, lists and audiences everything else depends on, hack and build growth agents, run Clay like a product you own, and use data to push our lifecycle programs 10x further than they are today.
This isn't a role where you wait for a ticket. You'll spot the next enrichment worth testing, propose the workflow that saves the team ten hours a week, and ship it. Some folks call this kind of work go-to-market engineering. We think of it as lifecycle marketing with real technical chops.
WHAT YOU'LL OWN
Lifecycle marketing, the backbone
- Become the team's expert on our audiences, and build the segments, lists and audiences that every email, campaign, webinar and nurture runs on
- Design lifecycle programs across signup, activation, re-engagement and expansion, and test them relentlessly with real data
- Use product usage and conversion patterns to decide who gets what message, when, and on which channel
- Report honestly on what moved the number and what didn't... including your own tests
Growth agents and Clay
- Own Clay end to end. You're the person who pushes it forward, not someone who has access to it
- Test new enrichments, scoring and signals, keep what works and kill what doesn't
- Build growth agents and automated workflows that let a three-person team move like a much bigger one
- Feed better audiences to Google, Meta, LinkedIn and email, in partnership with the performance marketer
Marketing ops
- Configure webinars and forms, and run the ops side of events: registration flows, segmentation, follow-up and handoff to sales
- Keep our tools, data and routing clean so the team trusts what they see
- Proactively propose improvements to how we work. If something's slow, manual or broken, we expect you to say so and fix it
WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME
- "I didn't ask for that segment, but it's exactly what I needed for the campaign."
- "Every audience I get from them converts better than the last one."
- "The leads from the webinar showed up enriched, routed and ready to go. I didn't have to dig for anything."
- "Wait, marketing built that agent? Can we borrow it?"
- "Clay does things now nobody thought it could, and our lifecycle emails actually get replies."
WHAT WE'RE LOOKING FOR
- You want to hack and build growth agents. This is the heart of the role. You've used Claude Code, agents or similar tooling to automate real growth work, and you're itching to build more
- A passion for understanding user groups. You want to be the expert on our audiences... who they are, how they behave, and how to segment them so every email and nurture lands with the right people
- A systems brain. You see marketing as a set of inputs, workflows and feedback loops, and you love making them run better
- Lifecycle experience with numbers attached. You've owned segments, nurtures or re-engagement programs and can tell us what they did to activation, pipeline or revenue
- Proactive by default. You find the next test, enrichment or fix before anyone asks
- High-growth company background, ideally somewhere with a technical or developer audience
- Honest about results. You'll call out a losing test, including your own, as quickly as a winner
- Clay experience, ideally a workflow you built and can walk us through
- HubSpot experience at the workflow and data level
- Comfortable pulling and analyzing your own data, SQL included
- Webinar or event ops experience tied to pipeline
- Familiarity with data practitioners or developers as an audience
OUR INTERVIEW PROCESS
We like to keep things transparent, so here's what to expect if you apply...
1. Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit
2. A conversation with our Growth lead to learn about the systems you've built, how you think about audiences and segments, and what excites you about growth agents
3. A deeper conversation with our Growth team covering lifecycle strategy, how you'd test and measure a program, and a walkthrough of a workflow or agent you've built
4. A final conversation with our CEO focused on values and vision
PLEASE APPLY
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The UX Platform team aims to improve workflows in the Figma Ecosystem, with a focus on the user experience at the boundary of different features and products. Our goal is to make distinct features within the design editor feel more connected so that both new and experienced users can move as quickly as possible through their creative process. The team tackles complex core product and platform challenges with real revenue implications, shaping Figma’s product experiences across teams and impacting how millions of people design and build together every day. We build thoughtful, extensible UI patterns that help our product suite feel more familiar and intuitive. Given the reach of the features and experiences we build, we have an exceptionally high bar for product quality and craftsmanship. Most recently, the team has been focused on improving Agent-driven workflows in the design editor.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Manage and support a team of experienced engineers to build new features that better connect Figma’s multi-product ecosystem
Champion a strong engineering culture rooted in inclusivity, velocity, and technical excellence
Partner with product, design and engineering leadership to set strategy, priorities, and mission for teams and projects
Work closely with cross-functional partners and other engineering teams to build and support a culture of doing great work together for our engineering team by investing in team culture, mentorship, and meaningful work
Grow your career in a collaborative and creative engineering community
We'd love to hear from you if you have:
2+ years of engineering management experience and leading a high output engineering team
6+ years of frontend or fullstack engineering experience
Demonstrated leadership skills in building a high-performing and highly engaged engineering team; including a proven track record of motivating, mentoring, and guiding senior engineers
Experience building product roadmaps with product, design, and data-science partners
Proven success balancing technical quality work alongside feature development
Strong written and verbal communication skills, especially in cross-functional settings
While it’s not required, it’s an added plus if you also have:
Success working in highly complex and ambiguous product spaces
Experience shipping cross-product features and tools at high velocity
Strong collaboration experience across engineering teams and organizations
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
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
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
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:
$405,000
—
$485,000 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: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
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Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Machine Learning Engineer, Customer Memory.
About the job
This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves.
You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work.
Responsibilities
In this role, you’ll:
Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets.
Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking
Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships.
Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces.
Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands.
A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability.
Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn.
Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production.
Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking.
Desired:
Experience with Go and/or Python.
Experience with event-streaming systems (e.g. Kafka).
Experience building LLM-backed products.
Practical experience applying ML, e.g. building, evaluating, or productionizing models.
Location
This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until November 13, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
The Vice President of Platform Engineering reports to the CTO and leads the strategy, organization, and execution for 1Password’s core service and development platforms. The VP is accountable for building secure, reliable, and scalable foundations that enable teams across 1Password to deliver, operate, and own with autonomy, speed, and unambiguous accountability. The VP owns operations, drives delivery, and develops a high-performing team to achieve impactful results.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- Experience: 10+ years of experience in software engineering, with at least 7 years in a leadership role, preferably with experience building and operating at the intersections of IaaS, SaaS, and the cybersecurity industry.
- Education: Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related fields; or proven equivalent work experience.
- Proven track record establishing durable, full-lifecycle ownership for critical platforms and services, including adoption, customer experience, reliability, security, cost, incident response, and continued evolution.
- Proven ability delivering and operating cost-effective mission-critical infrastructure and platform systems serving internal- and consumer-facing software products, operational efficiency and market expansion.
- Strong business and technical acumen in systems and software engineering, proven ability to lead an organization and culture delivering best practices and innovation.
- Exceptional analytical and strategic thinking skills, with the ability to define, develop and execute strategic plans across a wide set of objectives, driving committed quantifiable results.
- Extensive experience in building, maintaining, and influencing operational excellence, including process and system optimization, scalability, and the development and management of performance metrics
- Demonstrated ability to collaborate effectively with C-suite leaders and cross-functional teams, aligning on strategic priorities to achieve shared objectives.
- Outstanding communication skills, with the ability to convey complex ideas clearly, build trust, inspire broadly, gaining alignment across diverse stakeholders.
- Proven expertise in leading and sustaining multi-year transformational initiatives in fast-paced, complex, and dynamic environments.
- Proven experience building, developing and scaling high-performing teams.
What you can expect:
- Leadership: Continuously evolve, develop and execute the Platform Engineering vision, strategy, objectives, and roadmaps, aligning and laddering it with the company strategy and customer needs. Proactively incorporate market and industry trends, competitive landscape, and customer insights to identify opportunities, informing strategic decision-making.
- Transformation: Lead multi-year changes to 1Password’s engineering architecture and operating model, building shared platforms, supported paths, and common practices that improve reliability, security, developer effectiveness, and the company’s ability to scale.
- Company Initiatives: Lead technology-adjacent strategic initiatives that facilitate delivering best-in-class engineering results, from inspiration and innovation, to implementation and iterative improvement.
- Operations: Design and evolve the organization, ownership model, and operating mechanisms needed to execute the strategy. Establish clear accountability for the platforms and services the organization operates directly, while creating governed, supported paths that enable other teams to own and operate their products independently.
- Engineering Systems and Practices: Advance how software is built and operated across 1Password through ubiquitous engineering standards, operational excellence, and safe, measurable Agentic Engineering practices. Establish the platforms, controls, and evidence needed for teams to adopt these practices while remaining accountable for their results.
- Performance: Establish clear, quantifiable outcomes across the organization and operating mechanisms that expose progress, quality, adoption, operational health, and business impact. Use evidence to make investment, prioritization, and organizational decisions, transparently providing actionable insights for the executive team and organizational leaders.
- Cross-functional Collaboration: Build strong relationships across the company to proactively identify needs, align strategies, and optimize your company-wide impact. Foster collaboration within and beyond the Technology organization to influence change. Apply critical feedback toward achieving strategic goals. Represent the technical organization in senior leadership meetings, providing updates on strategic initiatives, operational execution, and industry trends and their implications.
- Team Leadership: Build and lead a high-performing team by mentoring and coaching direct reports, evaluating organizational talent, and implementing plans to prepare talent for future business demands.
- Leadership Growth: Invest in the growth and development of the leaders within the technology organization across 1Password via direct mentorship, sponsorship, and participation at sibling organization events, as well as providing leadership alongside cross-functional partner teams, such as Product, Security, People/Talent, Operations and L&D.
- Culture and Org Health: Drive and evolve our high-performance culture, fostering psychological safety, inclusivity, ownership, and agility. Champion initiatives to enhance the employee experience organizationally- and company-wide.
- Financial Oversight: In partnership with Finance, own the organization’s investment and capacity strategy, balancing current operations, future-state transformation, and targeted growth. Ensure resources are allocated against the highest-value outcomes and adjust plans when evidence or business priorities change.
USA-based roles: The annual base salary for this role is between $302,000 USD and $483,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles: The annual base salary for this role is between $278,000 CAD and $445,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
We're looking for an experienced recruiter to join our Business Recruiting team and support hiring across Notion's Foundation (G&A) organization, including People, Legal, and Finance.
You'll be a trusted partner to hiring managers and leaders, owning searches end-to-end, developing creative strategies to find hard-to-reach talent, and helping teams make thoughtful hiring decisions. We're looking for someone who loves the craft of recruiting, thrives on solving complex hiring challenges, and brings a strong sense of ownership, curiosity, and resourcefulness to everything they do. You'll have the opportunity to make a meaningful impact while helping us raise the bar for how we hire at Notion.
This role is based San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own full-cycle recruiting across People, Legal, and Finance, independently driving searches from intake and sourcing through assessment, offer, and close.
- Build trusted hiring partnerships, developing a deep understanding of business needs, proactively communicating progress, and bringing solutions to hiring challenges.
- Develop creative sourcing and talent strategies for specialized roles, using market research, talent mapping, and targeted outreach to engage exceptional candidates.
- Deliver an exceptional candidate experience, building meaningful relationships and thoughtfully engaging candidates throughout the hiring journey.
- Embrace new ways of working, thoughtfully leveraging AI and modern recruiting tools to improve efficiency, quality, and outcomes.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of full-cycle recruiting experience supporting specialized or niche roles in fast-paced, high-growth environments.
- Proven ability to independently source, assess, and close exceptional talent, including hard-to-find candidates.
- Strong hiring manager partnership skills, with the confidence to advise, navigate tough conversations, and influence hiring decisions.
- A proactive, solutions-oriented approach, using data, market insights, and sound judgment to overcome challenges and drive searches forward.
- Excellent communication, organization, and attention to detail, with the ability to prioritize, navigate ambiguity, and deliver an inclusive, high-touch experience.
- A collaborative, team-first mindset—we're all gardeners here—with curiosity and a willingness to experiment with AI and emerging tools to improve how we work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $170,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: United States Remote
Workplace: Remote
ABOUT THE TEAM
Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them.
YOUR MISSION
You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us.
WHAT YOU'LL DO
- Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience
- Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making.
- Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment.
- Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it.
- Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship.
- Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building.
- Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is.
- Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work.
- Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does.
- Talk with users every week and bring what you learn back into the work.
- Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions.
- Share what you learn across the product organization so other teams can adopt the practices that work.
WHAT YOU'LL BRING
- 7+ years in product management, including shipping at least one AI product from concept to real users.
- Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed.
- Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes.
- Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it.
- Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin.
- A record of launching, rebuilding, changing direction, and killing ideas based on evidence
- Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs.
- Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts.
- Experience creating structure where no playbook exists.
- Experience with collaboration or productivity software.
- Experience with forward-deployed or customer-embedded product work.
- Experience with agent interoperability, including MCP.
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
УдалённоseniorUnited States; Canada (BC & ON only); Senior Customer Success Manager - Pacific Time Zone; Must be based in the Pacific Time Zone
УдалённоSpain; Portugal; Poland; Hungary; Czechia
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