Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About 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
As the leader of Partner Services Delivery and Success within Partnerships at Anthropic, you will lead the global field delivery, partner success and partner health teams that make Claude deployments succeed at our customers when our partners build and run them. This is a senior leadership role on the Partnerships leadership team, reporting to the Global Head of Partnerships.
A deployment starts with work the business wants an agent to do: a research process in a bank, claims handling at an insurer, engineering workflows in a retailer. A partner's engineers build it against the customer's own systems and data, evaluate it on real work rather than a demo, and put it live. If it holds, the customer builds the next ten themselves and the partner carries the pattern to the next customer in that industry.
What good means is the same every time, whoever builds it: on time, on track, high quality, high customer satisfaction, and impact the customer can see in their own business. Holding that across thousands of deployments a year, almost none of which your own people build, is the job.
This is a build, and it is a scaling problem. The function is new, the teams are mostly still to be hired, demand is growing far faster than any team can be hired against it, and the way we deploy agents is changing faster than a method written down in advance can keep up with.
What you will own
Deployment strategy and approached.
Bringing the best ways to deploy Claude to our customers through partners: which deployment approaches we back, which partners we build them with, and how both change as the models and the use cases move.
Field delivery.
A global organisation across the Americas and international markets, which you hire, lead and grow. Our own people, in region, alongside the partner's team on live engagements: they run the delivery cadence, hold the work to date and quality, and are the first to know when something is going wrong. Most of the team sits here, and it is accountable for deployments landing on time and on track, to a high quality bar, with high customer satisfaction and impact the customer can see in their own business, against the customer's own deployment plan rather than a partner work order.
Delivery assurance.
The standard a Claude deployment is held to, how it is inspected on live engagements, and how a shortfall gets back to the partner as root cause rather than as a complaint. Where a partner's own delivery practice meets that standard, you approve them to carry the work and you assure the result.
Partner success.
The partner's own capability to deliver. One person is the point of contact across everything a partner is building, and the method is built with partners rather than handed to them: the patterns that worked on real engagements, turned into something the next partner can run, and the centres of excellence inside our largest partners that let their own engineers deliver to our standard.
Partner health and escalation.
An honest read on how every partner is really performing, held apart from the teams that own the commercial relationship so the score can be trusted. A falling score starts an escalation, and it is how we decide what a partner is ready to take on next.
Working with the account team.
Account executives, the partner account and success teams, and the partner's own delivery leadership, so that a deployment has one plan and one set of owners rather than three.
The relationships.
Delivery leadership at our largest partners, technology and business leadership at their clients, and Applied AI, Customer Success, Sales, Product and Engineering inside Anthropic. Most of what you need you will not control, so this role is carried by trust rather than reporting lines.
The bench.
Delivery capability in markets that do not yet have any, built with partners who have not done this work before.
You will also build the measurement, since knowing whether a deployment is working is still largely done by the people closest to it; make your own organisation AI-native, running the delivery records, the quality signals and the pattern-finding on Claude; act as the executive sponsor in our most strategic partner-led deployments; travel to partner and customer sites and to conferences for executive-level sessions, technical workshops and relationship building; and stay current with emerging AI trends and the evolving partner market.
You may be a good fit if you
Have 15+ years in technical delivery, professional services or solutions leadership, including several years leading leaders.
Have built a delivery organisation rather than inherited one, and have executed through a period when its volume changed by an order of magnitude.
Have been accountable for whether large enterprise deployments reached production and were used, not only whether they were delivered to plan.
Have run delivery through other people's engineers and still held the quality bar, so you know the difference between assuring work and policing it.
Have worked with or inside global systems integrators and advisory firms, and understand how their delivery practices, staffing and economics actually work.
Understand how to contribute to running a GTM organisation anchored on a consumption business model, not SaaS sales cycles.
Have deep technical proficiency with enterprise AI use cases and agent architectures, and have built with LLMs yourself, including evals and the gap between something that works in review and something that survives in production.
Have strong executive presence and build deep, durable relationships with technical and business leaders, at our partners and at their clients.
Have a passion for making powerful technology safe and societally beneficial.
Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.
Strong candidates may also have
Led delivery in the first years of a technology.
Built the method while delivering with it, and turned what worked on one engagement into what the next hundred start from.
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:
$540,000
—
$585,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc
Your Role:
The Senior Manager, Technical Excellence & Escalations leads the two teams that sit between Technical Support and the rest of the business: the global Technical Excellence team, staffed by our Technical Leads, and the global Escalations Engineering team.
Both produce Tenable's earliest and clearest signal about product supportability and customer risk. Both have historically produced that signal faster than the organization could act on it. This role exists to close that gap.
This is not a queue-management job. The Senior Manager is accountable for two outcomes: turning Technical Lead expertise and escalation findings into tracked change with Product and Engineering, and running one escalations practice that behaves identically in AMER, EMEA, and APJ.
The role sits within Operations & Scale and works in close partnership with the Sr. Director, who sets overall strategy and carries the executive narrative. The Senior Manager owns the operating model, the day-to-day practice, and the working-level relationships with Product and Engineering that make change actually happen. They lead senior individual contributors who are already force multipliers — which makes this a job about influence and orchestration, not direction.
Who You Are
An orchestrator, not a bottleneck.
You create the conditions for senior experts to influence the organization instead of routing their work through yourself.
Technically credible.
You have the depth to earn respect from Principal-level engineers and to challenge an Engineering assessment that doesn't hold up.
A clear communicator under pressure.
You can hold a room containing both a frustrated customer and an Engineering lead, and translate technical detail into business consequence.
A systems thinker.
You are drawn to the pattern behind the escalation. You would rather fix the class of problem than win the individual case.
Comfortable influencing without authority.
Much of what this role must accomplish depends on teams you don't own.
Effective remotely.
You build trust and hold a team together without relying on being in the room, and you communicate in writing well enough that distance isn't a handicap.
A developer of senior talent.
You are energized by growing people who are already very good, and you give direct feedback.
Your Opportunity:
Technical Excellence Team
Run the operating model and product coverage plan for the global Technical Excellence team — every strategic product has clear lead ownership, defined authority, and no coverage gaps across theaters.
Set the team's working agenda: what leads work on, what they own, and how their time splits between reactive escalation support and proactive supportability work.
Turn Technical Lead findings — defect patterns, supportability gaps, documentation failures, recurring friction — into one prioritized, evidence-backed agenda, not a stream of individual product complaints.
Position Technical Leads as credible partners in Product and Engineering forums, with the data, framing, and support they need to influence rather than escalate.
Contribute to the Technical Lead career path with the Education & Enablement Manager, and apply it consistently — progression from Technical Lead through Senior and Principal, and the competencies that separate each grade.
Global Escalations Practice
Own the global escalations practice day to day: process design, entry and exit criteria, severity definitions, roles, communication standards, and adherence.
Drive it to a single global standard. One model, consistently applied and measured across all theaters, with regional variance only where legally or operationally required.
Operate and enforce the working agreement with Product Engineering — SLA adherence for escalated defects, prioritization criteria, update cadence, and follow-through on resolution commitments. Escalate structural breakdowns to the Sr. Director.
Own the quality of post-escalation output. Every RCA and post-incident report produces a tracked action, not a filed document.
Build the prevention agenda: analyze root cause patterns and drive the upstream product, process, tooling, or enablement changes that reduce escalation volume and re-escalation rate.
Act as the Technical Support point of contact for high-severity customer situations — providing assurance and coordination without displacing the assigned Escalations Engineer.
Driving Change Across the Organization
Represent Technical Support in roadmap, release readiness, and quality forums at the Product Management and Engineering Manager level, making the supportability and escalation-risk case with data.
Run the working-level feedback loop into Product and Engineering: defined cadence, shared prioritization, visible tracking from support signal to shipped change.
Assemble the evidence behind supportability investment — ticket volume, escalation cost, re-escalation overhead — and partner with the Sr. Director to convert it into a business case that earns engineering capacity.
Partner with Engineering on release quality gates so Technical Support has meaningful input before GA, not remediation duty after it.
Represent both teams in cross-functional work with Customer Success, Sales Engineering, and Professional Services where escalation or account risk is in scope.
Produce the regular supportability and escalation readout for the Sr. Director: narrative, trend, and recommendation — not raw metrics. Present directly to senior leadership as requested.
Work with the Operations Manager to instrument escalation and Technical Lead activity in TSO reporting, so the teams' signal is visible without manual pulls.
Leadership & People Development
Lead and develop a senior, highly autonomous, globally distributed team, including the Principal Technical Lead as a technical partner and strategic extension of the function.
Operate as a player-coach: hold the operating cadence and coach the team, and step personally into a live critical escalation or a difficult Engineering conversation when it matters.
Build succession depth in both teams and eliminate single-person dependency on strategic products and accounts.
Partner with the Education & Enablement Manager — a peer in the same function — to close skill gaps in both populations and feed field learnings into broader Technical Support enablement and certification.
Set goals, performance expectations, and measurement for both teams in line with global Technical Support objectives.
Drive AI adoption within Technical Lead and Escalations workflows under the Support AI governance framework, acting as the proving ground for capability the wider TSO will inherit.
What You'll Need:
8+ years in Technical Support, Escalation Management, or customer-facing engineering in enterprise software, with recent focus on security or vulnerability management.
3+ years managing technical teams — ideally senior individual contributors, technical leads, or escalation engineers. Experience managing remote and globally distributed teams strongly preferred.
Hands-on experience running an escalation practice or program, including process design and cross-functional coordination.
Demonstrated ability to influence product and engineering priorities using support and escalation data.
Experience operating within Support–Engineering agreements, including SLA adherence for defect resolution.
Comfort with support metrics and the analysis behind them — escalation volume, re-escalation rate, time-to-resolution, ticket volume reduction — and the ability to build the evidence case for investment.
Strong understanding of Tenable's product portfolio and security best practices, or the demonstrated ability to reach it quickly.
Technical foundation across networking, authentication, operating systems, and cloud (AWS/Azure/GCP) sufficient to lead technical discussions credibly.
Excellent written and verbal communication; comfortable with senior stakeholders and with customers at any level.
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
Able to work in a hybrid/on-site capacity at our office in Columbia MD.
Available to provide leadership coverage for critical escalations outside standard business hours as needed, and to work across AMER, EMEA, and APJ time zones to support globally distributed teams.
Occasional travel as required for team, customer, and cross-functional engagements.
Flexibility to perform other duties as deemed necessary by management.
And Ideally:
Cybersecurity or adjacent enterprise security SaaS experience.
Prior time as a Technical Lead, Principal Engineer, or Escalations Engineer — credibility earned in the seat.
Product Management or program management exposure.
Familiarity with AI-assisted support workflows and their governance.
Experience supporting FedRAMP or other regulated environments.
#LI-Hybrid
#LI-MM1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$130,000
—
$173,333.33 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: Toronto; Canada; United States
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ROLE OVERVIEW
We're seeking a senior product leader to own Cohere's Inference as a Service business end to end. The product is sovereign, self-serve inference: a mid-market or enterprise buyer picks a model, a region and a GPU size, and is running the same afternoon with no procurement cycle and no infrastructure of their own. You'll decide which open-weights and first-party models we serve, in which regions and on which hardware, set the rate card they sell at, and carry the revenue and margin that follow from those calls. You own the platform around that endpoint as well, from the console and dashboards a customer administers their deployment through to the catalog of first-party and third-party models behind it.
You'll set the strategy and run the execution, which means choosing where to spend across serving efficiency, the self-serve console and regional capacity when all three want the same budget, and shipping the deployment framework that removes infrastructure barriers while holding the line on data residency, compliance and operational confidence. You'll do that across engineering, serving, finance, legal and GTM without formal authority over most of it, and you'll be accountable for the outcome rather than for the roadmap.
The timing is most of the opportunity. Every serious company is deciding where its models will run and what it costs to keep them running, serving demand is climbing faster than anyone can rack hardware for it, and very few of those buyers are willing to hand their data to an operator who can read it. We are starting this business from a standing start, with the models, the silicon and the encryption already in place and almost no one else able to offer the combination. You would be taking a product to market in the window where that advantage is still ours, building one of Cohere's major revenue lines from its first customer onward, and shaping how a generation of companies buys AI it can actually trust.
RESPONSIBILITIES
- Own the P&L for Inference as a Service: carry the revenue number, set the rate card, and keep blended margin above the floor as the catalog and the fleet grow.
- Own the inference platform itself: the console and dashboards where customers see usage, spend, API keys, access control and attestation, and the value-add tooling that makes a managed endpoint worth more than a raw one.
- Own the model inventory across first-party and third-party models: what enters the catalog, how it is grouped by provenance, what it is priced at, and when something is quantised, replaced or retired.
- Set the roadmap and the investment case across serving efficiency, the self-serve surface and regional capacity, and make the call when those three compete for the same budget.
- Build the commercial motion with GTM from the ground up: self-serve acquisition for the mid-market, a sales-led motion for enterprise, and the partnerships that monetise capacity we would otherwise leave idle.
- Stay close to the market: talk to customers and developers about integration friction and unmet needs, track competitor pricing, catalogs and launches, and follow where models and hardware are heading, then turn that into a clear view of where we should place our bets and what it would take to win.
- Define the metrics that tell us whether this is a business, including revenue, margin, win rate, time to first token and self-serve share, and lead the work that moves them.
- Partner with engineering, research, legal, finance, technical writing and developer relations to ship the platform and clear the licensing, pricing and capacity decisions behind it.
- Represent the business to the executive team with a recommendation, the evidence behind it and the trade-off it implies.
REQUIREMENTS
- 10+ years of product management experience, including meaningful time owning a B2B infrastructure or platform product at the scope of a business rather than a feature area.
- Experience operating in a GM-like capacity: you have carried a revenue line or a P&L, set pricing, and been held to margin as well as to shipping.
- Background at a neocloud such as Together AI, Baseten or Fireworks, or at a hyperscaler such as AWS, Azure, OCI or Google Cloud, with a working view of how inference capacity is priced, packaged and sold, and a point of view on where the segment goes next.
- A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features.
- Entrepreneurial, with experience taking a new product to market and building the commercial motion around it rather than inheriting one.
- Experience with deployment models such as multi-tenant and dedicated infrastructure, and ownership across the full product lifecycle, from problem definition through launch, iteration and eventual migration or deprecation.
- Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions.
- Able to set direction and earn alignment across engineering, infrastructure, finance, legal and GTM without formal authority, and to put a clear recommendation and its trade-offs in front of an executive audience.
NICE-TO-HAVES
- Experience owning a model serving or inference platform, including self-serve infrastructure and metered inference offerings.
- Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products, particularly in the inference-as-a-service context.
- Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns for inference workloads.
- Experience with GPU infrastructure and cloud deployment models across both neocloud and hyperscaler environments.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
1️⃣ Build internal tooling, automations, and workflows that allow to identify patterns in support volume, reduce manual effort and make the team faster. 2️⃣ Own engineering support end-to-end.
УдалённоseniorYou can manage an open queue, triage by impact, and keep things moving asynchronously across time zones
Location: Riyadh, KSA
Workplace: onsite
Tabby
creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
As
Information Security Engineer
, you’ll play a key part in monitoring and defending our infrastructure, applications, and cloud environments from cyber threats.
You’ll lead incident response efforts, develop and tune detection rules, investigate security events, and collaborate with cross-functional teams to strengthen our security posture.
Key Responsibilities
Security Monitoring & Detection
Monitor and analyze logs and alerts from a wide range of sources including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoints, servers, and cloud platforms.
Perform correlation of events from multiple sources to identify advanced threats and unusual patterns of behavior.
Fine-tune alert thresholds and detection logic to reduce false positives and improve signal-to-noise ratio.
Maintain dashboards and reporting to provide real-time visibility into security posture.
Incident Response & Investigation
Serve as a frontline responder for security incidents, managing incidents through their lifecycle – detection, containment, eradication, recovery, and lessons learned.
Coordinate with internal stakeholders and external vendors during high-severity incidents or data breaches.
Perform root cause analysis and forensic investigations using endpoint and network-based artifacts.
Maintain detailed incident documentation and contribute to post-mortem analysis and reports.
Threat Intelligence & Detection Rule Development
Research emerging threats and trends.
Contribute to the creation and tuning of detection rules, threat-hunting queries, and use cases across multiple platforms including cloud environments.
Maintaining CTI Platform along with the integration of the CTI feeds with the security controls to have active CTI driven detections.
Collaboration and Communication
Communicate effectively with cross-functional teams including IT, DevOps, Risk, and Compliance during incidents and investigations.
Provide concise and clear updates during incident handling to stakeholders and management.
Mentor junior analysts and assist in training efforts within the SOC team.
Skills, Knowledge and Expertise
3–4 years of experience in a SOC or cybersecurity operations role, ideally in a fast-paced fintech or enterprise environment.
Strong knowledge of security best practices, including incident handling, alert triage, log analysis, and threat modeling.
Understanding of online technologies, REST APIs, microservices, and modern application architectures.
Experience working in a culturally diverse and collaborative environment.
Familiarity with DLP, AV, and anti-malware systems from an operational monitoring perspective.
Experience with phishing detection, user behavior analytics, and security awareness campaigns.
Security certifications such as Security+, CySA+, eCIR, eCTHPv2, GCIA, or GMON (preferred but not required).
Strong communication skills, especially for coordinating incident response and writing clear incident reports.
Experience with
SIEM platforms
,
SOAR tools
,
EDR/XDR
, and
Threat Intelligence platforms
.
Familiarity with cloud environments and cloud-native logging and monitoring tools.
Scripting experience (e.g.,
Python
) to automate tasks and improve SOC efficiency.
Responsibilities:
- Design and develop scalable Android features for a mobile banking application.
- Implement secure financial flows including transactions, cashback logic, and tracking.
- Integrate with external APIs such as payments, geolocation, and partner services.
- Ensure high performance, stability, and security of the application.
- Collaborate with backend, QA, and product teams to deliver features end-to-end.
- Maintain and improve app architecture following modern best practices.
- Lead code reviews, enforce coding standards, and mentor team members.
- Monitor app health including crashes, performance, and analytics, and proactively improve it.
- Work with analytics tools like Firebase and Google Analytics to track user behavior and optimize features.
- Continuously improve development processes, documentation, and codebase quality.
Requirements:
- At least 2 years of experience in Android development using Kotlin.
- Strong knowledge of Android fundamentals, application lifecycle, OOP, and architectural patterns such as MVVM and MVI.
- Experience building Android UIs with Jetpack Compose and/or traditional View/XML systems.
- Experience with Kotlin Coroutines and working knowledge of Flow.
- Experience integrating REST APIs, handling responses, errors, and serialization.
- Basic experience with local data persistence using Room or other Android storage solutions.
- Familiarity with dependency injection frameworks like Hilt, Dagger, or Koin.
- Experience writing unit tests and understanding basic UI testing principles.
- Working knowledge of Git and basic understanding of CI/CD.
- Ability to independently implement well-defined features and collaborate effectively with the development team.
- English proficiency at least at Intermediate+ level.
Location: Gurugram, Haryana, India
NEOLYTIX
Associate – Automation (Fresher)
Intelligent Automation · Entry-Level · Start Your Career in AI & Automation
EXPERIENCE
Fresher (0–1 Yr)
QUALIFICATION
B.Tech / BCA / MCA
LOCATION
Gurugram (Onsite, 5-Day)
SHIFT
1:30–10:30 PM (Flexible)
About the Role
Neolytix is a US-headquartered healthcare technology and services company with delivery centres in Chicago, Gurugram, and Manila, supporting 270+ provider organizations. As we move from a services company to a technology-enabled one, our Intelligent Automation team is building AI-powered automations that make healthcare operations faster and more accurate — and we’re hiring recent B.Tech / BCA / MCA graduates as Associate – Automation to grow that team.
This is an entry-level role built for someone ready to learn and build. You’ll be trained to design, build, and test automations — using visual (no-code / low-code) workflow tools, AI models, and light scripting — for real business and revenue-cycle processes, under the guidance of senior automation engineers. No prior work experience is required. We’re looking for solid programming fundamentals, a logical, pattern-spotting mind, and genuine curiosity about AI and automation.
What You’ll Do
Learn to design, build, and test automations using visual workflow / RPA tools and AI models, under senior guidance.
Support the Intelligent Automation team in building and testing automations for business and RCM workflows.
Write and maintain simple scripts (Python) for data handling, integrations, and automation tasks.
Help map manual processes step by step and identify where automation can save time or reduce errors.
Document workflows, test cases, and process steps clearly.
Monitor running automations, log exceptions, and flag issues to senior team members.
Use AI tools (e.g., ChatGPT, Claude, Copilot) to prototype, draft, and test solutions faster.
What You’ll Learn
With structured training and mentorship, you’ll build genuine, in-demand skills in:
Visual workflow automation and RPA (no-code and low-code platforms).
Applied AI — prompt design and using AI models for real business use cases.
Python scripting for automation, data handling, and integrations.
Process analysis — how to break a manual workflow into automatable steps.
How US healthcare revenue-cycle operations work, as the processes you’ll help automate.
What You Bring
Must-Have
B.Tech, BCA, or MCA (recent graduate) with a genuine interest in automation and AI.
Solid programming fundamentals — comfortable with at least one language (Python preferred); understands logic, loops, functions, and basic data structures.
A logical, analytical, pattern-spotting mind — you can look at a process and see where the repetition is.
Comfortable working with data in Excel / spreadsheets.
Good spoken and written English for documentation and teamwork.
A fast learner who takes ownership and sweats the details.
Preferred (a bonus, not required)
Academic or personal projects in Python, scripting, automation, or AI (a GitHub or portfolio helps).
Exposure to any automation / RPA or workflow tool (UiPath, Power Automate, n8n, Zapier, or similar).
Basic SQL; hands-on use of AI tools (ChatGPT / Claude / Copilot); interest in healthcare or US business processes.
Eligibility Criteria
Education:
B.Tech, BCA, or MCA is mandatory and must be completed — candidates currently pursuing a degree, with backlogs, or an incomplete graduation are not eligible.
Communication:
Good spoken and written English — clear enough to document workflows and work within a team.
Work mode & shift:
Onsite at Gurugram, 5 days a week. Shift: 1:30 PM – 10:30 PM IST, with some flexibility as required.
Availability:
Immediate joiners or candidates able to start soon are preferred.
Selection Process
Application review (resume; projects, a GitHub, or a portfolio help).
Technical / aptitude assessment (logic and basic coding).
Interview with the Automation team, followed by an HR discussion.
Why Join Neolytix
Start in a High-Growth Field
Begin your career in AI and automation — one of the most in-demand skill sets today.
Learn & Build
Structured training and mentorship from senior automation engineers, from day one.
Real Work, Real Impact
Build automations that run in a live healthcare business — not throwaway training exercises.
Clear Growth Path
A path to grow into Automation Analyst / Intelligent Automation Analyst as you develop.
Questions? Reach out to Lakshay at Neolytix Talent Management | This document is confidential and for internal use only
Responsibilities:
— Build and enhance biometrics, algorithms, and data-driven insights for the Mira App
— Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities
— Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations
— Collaborate with Product, Design, Engineering, R&D, and Real-World Evidence Scientist teams to translate data into app features and evidence-backed insights
— Support real-world evidence and clinical research projects through data extraction, exploratory analysis, modeling, and validation
— Define model performance and validation frameworks, addressing uncertainty, subgroup performance, missing data, and edge cases
— Improve data quality by identifying instrumentation gaps and recommending better data capture in the app
— Document model logic, assumptions, limitations, and appropriate use cases clearly for both technical and non-technical teams
— Work with Engineering to transition prototypes into production-ready app features or data pipelines
Requirements:
— Strong skills in Python and data science
— Preferred experience with SQL and working with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data
— Experience with model interpretability and explainability methods such as SHAP and LIME
— Strong judgment in model validation, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments
— Ability to translate data into user-facing product features, metrics, recommendations, or algorithms
— Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions
— Strong communication skills with both technical and non-technical stakeholders
— High ownership, startup speed, and comfort working with ambiguity
— Good scientific judgment, including distinguishing product insights from clinical or marketing claims
— Experience moving machine learning or algorithmic features toward production
Benefits:
— Remote position
— 40-hour workweek
— Flexible working hours
— Occasional overlap with the US team
— Competitive salary with performance-based bonus system tied to OKRs
— Fully remote environment supporting autonomy, ownership, and independence
— Real opportunities for career growth, including the ability to shape, build, and develop teams as the company scales
Location: Paris
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About the Role
We're looking for a hands-on Robotics Operations Specialist to support teleoperation sessions, robot benchmarks, robotics data quality, and evaluation runs. You'll work closely with engineers and operators to ensure sessions run on time and on spec - troubleshooting hardware issues in real time, preparing evaluation environments, and helping improve operational processes.
Responsibilities
Teleoperations Support & Operator Relations
- Provide hands-on support during teleoperation sessions: setup, monitoring, and real-time troubleshooting
- Debug equipment issues (connectivity, hardware faults, peripheral failures) and escalate when needed
- Manage session scheduling, collector onboarding, equipment handoff, and session-readiness checks
- Travel to client sites and data collection locations to onboard and train operators on teleoperation systems, protocols, and best practices
- Serve as the liaison between operators and hardware/data collection teams - systematically gathering feedback on equipment usability, workflow friction, and potential improvements
- Synthesize actionable insights to inform hardware development and process decisions
Benchmark & Evaluation Operations
- Support execution of robot benchmarks and evaluations alongside research and engineering teams
- Prepare robots, stations, props, and task environments according to defined protocols
- Ensure consistent resets, trial conditions, and operator execution across runs
- Investigate failed or inconsistent runs to identify whether issues stem from the model, robot hardware, environment setup, or operator execution
Data Quality & Annotation
- Review collected datasets to assess quality, flag inconsistencies, and ensure data meets training standards
- Onboard annotators on robotics annotations to assess video quality
- Perform data analysis to identify patterns in collection quality, operator performance, and session outcomes
- Collaborate with research teams to refine annotation guidelines and quality criteria
- Maintain quality metrics and contribute to reporting on dataset health across collection campaigns
Validation & System Integration
- Verify that hardware, software packages, and peripherals work smoothly together across the robotics stack
- Run tests in lab and staging environments, log bug reports, and contribute to root-cause analysis of recurring or production issues
- Support test plan execution by following defined acceptance criteria and documenting results
- Maintain detailed operational documentation for internal quality gates and runbooks
What We're Looking For
- Comfortable working hands-on with physical hardware: diagnosing, setting up, and maintaining equipment
- Strong communicator who can work fluidly with both engineers and non-technical operators
- Able to work autonomously and exercise independent judgment on methods and execution
Nice to Have
- Familiarity with robotics and teleoperation systems
- Background in a research or hardware-forward environment
- Experience writing operational runbooks or technical documentation
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United Kingdom; London Office
Workplace: Remote
The R&D team at Chainalysis is inspired by solving the hardest challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.
Talent Acquisition at Chainalysis is a small, close-knit team that partners with leaders across the business to hire the people who will carry our mission forward. We share sourcing wins, market learnings, and process improvements openly, and we hold ourselves to a high bar for both results and candidate experience.
We are hiring a Technical Recruiter to own and drive hiring for Engineering & Product roles in our EMEA locations. This is a high-volume, outbound-heavy role: you'll spend a meaningful portion of your time building pipeline through direct sourcing, identifying and engaging top engineering talent across AI, Crypto, and Fintech. You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Software Engineering roles among your key hires. You'll work closely with hiring managers across our R&D teams as a talent partner who understands the business and delivers results.
IN THIS ROLE, YOU'LL:
- Build pipeline through proactive outbound sourcing, mapping the AI, crypto, and fintech landscape to find where strong Software Engineers work today
- Develop creative sourcing strategies that go beyond LinkedIn InMails, including referral generation, community engagement, and direct outreach campaigns
- Own the full recruiting lifecycle for R&D roles, from intake and sourcing through offer negotiation and close, across a high-volume requisition load
- Deliver a thoughtful, personalised, and transparent candidate experience at every step while moving candidates through the process efficiently
- Partner with R&D leaders to calibrate expectations, share market insights on talent availability and compensation, and flag risks early so hiring plans stay on schedule
- Use data on pipeline health, conversion rates, and channel effectiveness to guide decisions, and champion diversity and inclusion in every search
WE'RE LOOKING FOR CANDIDATES WHO HAVE:
- 3+ years of full-cycle recruiting experience with a strong track record of hiring technical talent, such as Software Engineers, Data Scientists, Researchers, and Product Managers
- Demonstrated outbound sourcing ability: you build your own pipeline through direct outreach and do not rely on inbound applications to fill roles
- High AI proficiency, using it for building pipeline proactively, workflows, processes, and documentation
- Proven experience recruiting technical talent within the SaaS, AI, Blockchain, and Cybersecurity sectors, with a focus on candidates who have worked in fast-paced companies building technically complex products
- Consistently utilised data to inform decision making and advise hiring managers through the hiring process
- Strong organisational skills, sharp attention to detail, and consistent follow-through on every candidate and requisition
- The ability to build credibility with hiring managers quickly, communicate market realities clearly, and guide decisions with data, in a collaborative, low-ego way
YOU MIGHT ALSO HAVE:
- Experience recruiting for Blockchain companies with a focus on Engineering roles
- A background at a high-growth scale up technology company
- A track record of hiring for technical roles in Denmark, Israel, UK, and the USA
TOOLS WE USE:
- Ashby ATS
- Sourcing tools (LinkedIn Recruiter, Nova AI, GitHub)
- Coderpad
- Google suite, Slack, Chain AI
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Israel - Office - Tel Aviv
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Opportunity:
Tenable is hiring a Technical Director of Architecture: a hands-on generalist who can take on any technical problem in the platform and carry it to a decision.
The scope is deliberately broad. You will move between data processing and streaming, platform infrastructure, CI/CD and release engineering, application architecture, and the security surfaces our customers depend on. Some weeks you will design a pipeline that has to hold trillions of events. Others you will be inside a product team's codebase untangling a consistency problem, or writing the prototype that settles whether an approach actually works.
You report to the Chief Architect and serve as a floating senior technical authority: the person teams call when a problem crosses ownership boundaries or has no obvious owner.
Your Role:
Architecture Across the Platform
Own architectural direction for problems that span product lines: data models, service boundaries, integration patterns, and failure behavior.
Work wherever the need is highest across data processing, platform infrastructure, delivery, application tiers, and security, and become productive in a new domain quickly.
Maintain a rolling 6-12 month technical roadmap with a clear end state and discrete, deliverable phases.
Identify systemic risk and accumulated technical debt, size the blast radius, and partner with Product Management to sequence the remediation.
Hands-On Engineering
Write code, review code, and prototype. Debug production problems where the diagnosis is architectural.
Review design documents and pull requests deeply enough to catch what everyone else missed.
Build proof-of-concepts that test a hypothesis and settle debates with evidence.
Set the standard for engineering rigor through your own work.
Reducing Complexity
Simplify the technology surface: fewer competing choices, clearer guardrails, paved paths that teams actually take.
Streamline development patterns to shorten time-to-first-change and reduce MTTR.
Establish standards for how systems are designed, doc
umented, and handed to operations.
Influence and Leadership
Act as the final technical authority in your domain and own the call once it is made.
Partner with Technical Leads, Product Owners, SRE, and Data Platform teams to keep architecture aligned to business objectives.
Present options to leadership with honest trade-offs and a defensible recommendation.
Mentor engineers at every career stage and raise the architectural judgment of the wider organization.
Drive adoption of your own designs. An architecture nobody runs is a document.
AI-Augmented Engineering
Use AI tooling as part of your daily practice: code generation, codebase comprehension, test generation, review, and investigation.
Model the standard for the organization: where AI accelerates the work, where it misleads, and how to verify what it produces.
Apply AI to architecture and operations problems, including pipeline analysis, incident triage, runbook automation, and capacity planning.
Evaluate new tools and make pragmatic build-versus-buy-versus-adopt recommendations with a clear view of the risk.
How We'll Measure Success:
Architectural clarity: decisions documented, roadmaps with clear phase gates, an end state people understand.
Delivery impact: measurable improvement in lead time, deployment frequency, change failure rate, and MTTR on the teams you have worked with.
Simplification: fewer competing patterns, lower cost of change, and a faster ramp for new engineers.
AI adoption: velocity and quality gains from AI-assisted engineering that hold up under measurement.
Trusted partnerships: engineering, product, and SRE leaders seek you out early.
Team growth: a visible lift in architectural judgment across the organization.
What You'll Need:
10+ years of software engineering experience, with meaningful depth in architecture at scale.
Generalist range: you have shipped in more than one of services, data, infrastructure, or delivery, and you become productive in a new domain within weeks.
Hands-on fluency: you can read an unfamiliar codebase and contribute to it, write a service or a Terraform module, debug a distributed failure, and review code with authority.
Systems thinking: you reason naturally about failure modes, blast radius, and second-order effects.
Strong written communication: you make a hard architectural problem legible to an engineer, a product manager, and an executive.
Working fluency with AI-assisted development: you use these tools regularly, understand their failure modes, and can tell when their output is wrong.
Comfort with ambiguity: you take an underspecified problem, define it, and drive it to a decision.
And Ideally:
Depth in one area: data processing and streaming (Kafka, Spark, Flink), cloud platform and Kubernetes, or CI/CD and release engineering.
Experience with cybersecurity or security product platforms.
Platform engineering patterns: internal developer platforms, self-service infrastructure, golden paths.
FinOps and cost optimization at scale.
Public technical writing or open-source contributions.
Experience moving an organization from legacy patterns to modern architecture.
If this sounds like the environment where you do your best work, we'd love to meet you.
Tenable is committed to Equal Employment Opportunity (EEO) — through all applicable laws and regulations at the international, federal, state, and local levels.
#LI-TA1
#LI-Office
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Responsibilities:
— Develop and maintain scalable, reliable backend services.
— Design and implement RESTful or GraphQL APIs.
— Optimize system performance to handle high-traffic loads.
— Participate in code reviews to ensure maintainability and security.
— Collaborate with Product Managers and Frontend Engineers to deliver end-to-end features.
Requirements:
— Minimum 3 years of professional experience in Python development.
— Strong expertise in modern Python frameworks such as FastAPI (preferred), Django, or Flask.
— Advanced knowledge of Asyncio and asynchronous programming patterns.
— Proficiency in PostgreSQL including schema design, complex queries, and optimization, as well as Redis.
— DevOps mindset with comfort using Docker, CI/CD pipelines, and cloud environments like AWS or GCP.
— Understanding of architectural principles including Microservices, SOLID, and Clean Architecture.
— English proficiency at Upper-Intermediate (B2) level or higher for effective communication in a global team.
Benefits:
— Competitive salary ranging from $3,000 to $5,000 USD net monthly.
— Fully remote work from anywhere in the world with flexible hours.
— No micro-management, emphasis on results and trust.
— Opportunity to work on international products targeting US, European, and UAE markets.
— Professional growth through exposure to high-load challenges and cutting-edge technologies.
Nice to Have:
— Experience with Event-Driven Architecture using Kafka or RabbitMQ.
— Knowledge of Kubernetes and Infrastructure as Code tools like Terraform.
— Background in AI integrations or data-heavy applications.
As a Senior Salesforce Developer – Field Service at Omnidian, you will design, develop, and optimize Salesforce Field Service solutions that power our technician experience and field operations. Design, develop, and maintain scalable Salesforce Field Service solutions using native platform capabilities and custom development.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Support Engineering at GitLab believes that healthy teams deliver a healthy customer experience, and that command during a crisis shouldn't fall to whoever happens to be senior and available. GitLab's global Incident & Escalation Management (IM/EM) function coordinates critical incidents, complex multi-team engagements, and executive-level escalations for enterprise customers. As Escalation Manager, you'll own complex, executive, and commercial escalations where customer trust and the relationship are at stake, alongside or independently of a technical issue.
In this functional role, you'll advocate for customers inside GitLab, coordinate teams toward resolution, and lead relationship repair after the event.
What you'll do
Own complex, executive, and commercial escalations end-to-end, as defined in GitLab's IM/EM engagement model.
Advocate for customers internally and coordinate Engineering, Support, Product, Customer Success, and Sales toward resolution, tracking commitments and holding owning teams accountable to agreed dates and deliverables.
Maintain a written, customer-facing resolution plan from engagement through confirmed resolution, updating it at each communication milestone.
Coordinate with Incident Managers during concurrent technical incidents to maintain a single, coherent narrative for the customer.
Own external escalation communications using GitLab's approved templates and cadence, and represent GitLab in high-stakes customer conversations where clarity and ownership influence retention.
Engage Sales, Customer Success, and executive stakeholders as needed, including executive-to-executive communication for Severity 1 and 2 events. Brief GitLab leadership with concise summaries that distinguish what's known, what's unknown, and next steps.
Lead post-escalation reviews and relationship repair plans, contribute corrective actions with named owners and due dates to postmortems, and hand the relationship back to the account's Customer Success Manager at resolution.
Partner with the Head of IM/EM to develop playbooks, communication templates, and process improvements based on patterns from escalations.
What you'll bring
Experience in enterprise technical support, customer success, or incident and escalation management at a business-to-business software-as-a-service or enterprise software company.
A track record of owning complex, multi-stakeholder escalations end-to-end, including executive customer engagements and structured resolution or account plans.
Executive-level written and verbal communication skills, with the ability to translate technical detail into plain-language updates for customers and GitLab leadership.
The ability to coordinate Engineering, Support, Product, Customer Success, and Sales under pressure without formal authority over those teams.
Calm, structured decision-making with incomplete information and the ability to provide a steadying presence in high-stress customer situations.
Proficiency with support and coordination tools such as Zendesk, Salesforce, Slack, and PagerDuty, or equivalent platforms.
Availability for on-call coverage supporting executive escalations as part of a globally distributed team.
Nice to have:
Information Technology Infrastructure Library (ITIL) Foundation or equivalent certification; customer-facing experience with GitLab, development, security, and operations (DevSecOps), continuous integration and continuous delivery (CI/CD), or cloud-native products; experience with formal escalation or incident command frameworks; or AI-assisted support tools for triage, sentiment analysis, or resolution drafting.
About the team
The Incident & Escalation Management function sits within Support Engineering in GitLab's Enterprise Technology & AI (ETA) division. We operate a follow-the-sun model anchored in the Americas, Europe, the Middle East and Africa, and Asia-Pacific, providing year-round, 24-hour coverage for enterprise customers. Our Escalation Managers work globally rather than within a single region, partnering with Incident Managers, Communications Leads, and regional Support Engineering leadership. You'll help shape our playbooks, templates, and standards as we scale.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, New York, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Principal Partner Solutions Architect (GSI) to be Fivetran + dbt Labs' global technical advisor to our priority Global Systems Integrators (GSIs) — comfortable operating at executive level, leading the conversation, and directing execution of the joint business plan by combining technical depth with business insight. You are the ecosystem peer to the GSI's lead architects and delivery leads. You will own the technical capability, overarching solution architecture, and multi-year bets of the GSI partnership you support.
This role partners closely with the global alliance leads for these GSIs to articulate the true total value of each technical solution and execute impactful engagements across regions and countries. Functionally, the role sits at the intersection of field engineering, product management, and partnerships. Your closest counterparts are the GSI's practice and delivery leadership, the regional Partner Solutions Architects and Partnerships teams who run the day-to-day motion, and product managers across both Fivetran and dbt Labs. Operating at the Principal level, you will report directly to the Global Head of Partner Solutions Architecture.
This is a full-time position based in the US.
What You’ll Do
Build a trusted advisory relationship with priority GSIs and engage with their senior technical stakeholders and practice leads to secure multi-year technology bets with Fivetran and dbt Labs.
Own the joint technical narrative and capability messaging for the combined Fivetran + dbt Labs platform as it applies to this GSI's delivery practice — reference architectures, integration patterns, and the joint value story their consultants use with mutual customers.
Provide domain expertise around modern data platforms and enterprise technology, and effectively promote Fivetran + dbt Labs with partners, at conferences, and online.
Make recommendations on integration strategies, partner-side enterprise architectures, platforms, and application infrastructure required to successfully implement complete solutions for complex GSI mega-agreements.
Maintain a single, current view of integration state, gaps, and opportunities across the combined platform (ingestion, transformation, semantic layer, catalog/metadata, agent and MCP interfaces) as it affects this GSI's delivery methodology, and collaborate with Product to drive the right outcomes.
Co-develop intellectual property with GSI partners — enterprise-grade, replicable joint solutions and accelerators built with product management and technical teams — and evangelize that IP with partners, customers, and the field to drive adoption.
Run the standing technical cadence with the GSI's practice and delivery leadership as their primary technical counterpart.
Drive and influence GSI audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on GSI-led mega-agreements.
Partner with the regional Partner Solutions Architects and Partnerships organization so the global GSI relationship turns into regional execution, and so they can run the motion without you in the room.
Travel to partner and customer sites, conferences, and other related events as needed.
Skills We’re Looking For
Direct experience with technology and/or systems integrator alliances, or having sat on the delivery/practice side of a GSI or similar consulting organization — with a track record of shaping and scalingtechnical partner GTM.
10+ years of experience as an enterprise/solutions architect or in an equivalent customer- and partner-facing role.
Fluency across the modern data stack (ingestion, transformation, orchestration, warehouses/lakehouses, semantic layers, catalogs, BI, and the agent/MCP layer) and the ability to explain how the pieces fit for a systems integrator's delivery practice.
A demonstrable understanding of how GSIs operate, build, deploy and monetise Intellectual Property with technology partners.
Experience engaging with, and presenting to, senior technical stakeholders and executive leaders, with the business acumen to translate technical solutions into partner and customer value.
Experience with modern AI paradigms, generative AI, and data technologies, including experience evaluating and reviewing technical solutions.
Ability to drive and influence GSI audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on GSI-led mega-agreements.
Ability to deliver results and work cross-functionally to position and orchestrate joint solutions spanning multiple products
Bonus Skills
Verticalized knowledge of data and analytics technology solutions, with the ability to learn and work with new and emerging tools, methodologies, and platforms.
Experience with structured enterprise architecture practices, hybrid deployments, and on-premise-to-cloud migration roadmaps.
Ability to influence product roadmap: gathering requirements from a partner, building a prioritization case, and getting it accepted by product leadership.
Hands-on experience with dbt and with Fivetran.
Compensation & Benefits
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
OTE (On Target Earning)
$239,446.04
—
$332,562.90 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
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. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St)
Workplace: Hybrid
THE ROLE AND ITS IMPACT
As a Senior Software Engineer - AI, you'll lead the development of Xero's Internal AI orchestration platform - the foundation that enables teams across Xero to build and run AI agents safely and at scale. This is where technical excellence meets real-world impact. You'll define the standards and patterns that keep our Internal AI solutions aligned with strategic goals and engineering best practices, all while staying hands-on. You'll translate complex functional requirements into robust, scalable technical solutions that other teams depend on, and you'll champion emerging technologies to help advance what's possible with AI at Xero.
THE TEAM AND HOW THEY CONNECT
Our team builds the AI platform and shared patterns that help teams across Xero work with AI safely and at scale - from internal tools that simplify everyday work to frameworks that enable other engineers to build faster. We're a collaborative group dedicated to delivering high-quality, trustworthy software through strong engineering practices and a culture of continuous learning. You'll work closely with product owners, business analysts, designers and security teams, sharing knowledge regularly and providing constructive feedback that lifts everyone around you.
THE TEAM IS CURRENTLY WORKING ON
- Internal AI platform architecture and agentic frameworks that enable cross-functional teams to build agents safely
- Secure agentic access patterns for data and tools across Xero
- Governance, cost tracking and evaluation tooling to build confidence in AI model quality
- Building the shared patterns and starter templates that help the wider engineering community ship faster with AI
WHERE AND HOW YOU CAN WORK
This role is based in Sydney or Melbourne, with flexibility to work hybrid. We offer regular collaboration opportunities and team boost days to strengthen working relationships across the platform and our cross-functional partners.
HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR
- You've spent considerable time delivering production-grade software, with hands-on frontend experience in a modern framework like React.
- You're comfortable designing, building, deploying and running APIs and backend services in containerised environments using languages like Python or TypeScript.
- You bring strong experience with CI/CD pipelines, modern Git workflows and automated testing across the full software stack.
- You've designed secure authentication and authorisation patterns for services—thinking through OAuth/OIDC and similar approaches.
- You have practical experience building with agentic AI systems, including agent loops, tool calling and frameworks like pydantic-ai or LangGraph.
- You can translate technical trade-offs into clear language for both technical and non-technical stakeholders, and you stay curious about emerging technologies.
WHY XERO?
At Xero, we recognise that diversity of thought drives better outcomes. We Go Together; knowing the direction and bringing the right people. Our human-first culture of respect, fairness and inclusion is what helps us thrive at work and beyond.
Research shows that women and underrepresented groups are less likely to apply unless they meet every single requirement. But you could be exactly the right person for this role.
We offer generous paid leave (plus statutory holidays), dedicated paid leave for physical and mental wellbeing with access to an Employee Assistance Program, health insurance and dental reimbursement with vision allowances, a healthcare spending account, fertility and family forming support, wellbeing and sports programmes, employee resource groups, 26 weeks of parental leave for primary caregivers, an Employee Share Plan, flexible working, career development, and beautiful offices with shared meals. You'll do the best work of your life here.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
seniorAvailable to provide leadership coverage for critical escalations outside standard business hours as needed, and to work across AMER, EMEA, and APJ time zones to support globally distributed teams
United Kingdom - Remote; You will work directly with regional sales leadership, report into the Senior Director of Revenue Operations EMEA, and apply global standards and systems to the realities of selling across multiple countries, segments and time zones; Comfort with international complexity: multiple currencies, legal entities, languages and privacy regimes, and a working day that spans several time zones
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоToronto; Canada; United States; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
ОфисRiyadh, KSA
Gurugram, Haryana, India
ГибридParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоUnited Kingdom; London Office; You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Software Engineering roles among your key hires
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