Location: Germany, Berlin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Site Reliability Engineer
As a part of Sony Computer Entertainment, the
Gaming,
Developer
& Future
Technology Group
(
GDFT
)
is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.
Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.
What you'll be doing:
Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
Be involved in creating High Level Designs (HLDs) for new products and platforms
Mentor junior SRE staff and enable them for success
Lead incident response and post-mortem activities within your assigned service team
Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
Contribute to code to improve reliability
Implement automation to reduce ongoing toil
What we're looking for:
Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
Strong interpersonal, written and verbal communication skills.
Available to be scheduled in on-call rotation.
Skills & Knowledge:
Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
Development experience in one or more of the following programming languages:
Python (preferred)
Bash, Go, Java, C++, or Rust
In addition, experience with at least 3 of the following topics:
Distributed data storage at scale (Hadoop, Ceph)
NoSQL at scale (MongoDB, Redis, Cassandra)
Data Aggregation technologies. (ElasticSearch, Kafka)
Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets
Kubernetes and/or AWS (deployment and management)
Software Distribution (Package management and distribution at scale)
Configuration Management (ansible, saltstack, puppet, chef)
S/W Performance analysis and load testing (QA or SDET experience: a plus)
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Germany, Berlin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Service Reliability Engineer
As a part of Sony Interactive Entertainment, the Gaming,
Developer
& Future
Technology Group
(
GDFT
) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.
Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability.
What you'll be doing:
Taking a leadership role in ongoing improvements in Reliability and Scalability
Work closely with SRE Management to define KPIs, processes and drive continuous improvement
Influence the architecture and implementation of solutions within the division
Mentor more junior SRE staff and enable them for success
Act as a voice to represent SRE in the wider organisation
Represent the operational scalability of solutions in the wider division
Lead small-scale projects from inception to implementation
Design platform-wide solutions and provide technical leadership during their implementation
Demonstrate a high-level of organizational skills and initiative in the role
What we're looking for:
Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role.
Strong interpersonal, written and verbal communication skills.
Available to be scheduled in on-call rotation.
Skills & Knowledge:
Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
Development experience in one or more of the following programming languages:
Python (preferred)
Bash, Go, Java, C++, or Rust
In addition, experience with at least 3 of the following topics:
Distributed data storage at scale (Hadoop, Ceph)
NoSQL at scale (MongoDB, Redis, Cassandra)
Data aggregation technologies. (ElasticSearch, Kafka)
Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets
Kubernetes and/or AWS (deployment and management)
Software distribution (Package management and distribution at scale)
Configuration management (ansible, saltstack, puppet, chef)
Software performance analysis and load testing (QA or SDET experience: a plus)
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Espoo; Warsaw
Workplace: Hybrid
- Senior System Engineer (Ground Systems Hardware)
- Location: Espoo, Finland / Warsaw, Poland
- Department: Platform & Release Engineering
- Reports to: Platform & Release Engineering Lead
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior System Engineer (Ground Systems Hardware), you’ll design and validate mission-critical ground hardware systems that enable ICEYE’s satellite operations, ensuring performance, reliability, and scalability across demanding environments.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Design, integrate, and validate ground hardware systems at system level
- Define and maintain hardware specifications, interfaces, and performance requirements
- Conduct system modeling and identify design gaps and improvement opportunities
- Own validation and acceptance testing, including test plans, setups, and final sign-off
- Collaborate with product, systems, manufacturing, and operations teams to align designs with requirements
- Ensure documentation accuracy, configuration control, and version management
- Apply expertise in compute, power, and environmental systems to ensure reliability in operations
- Drive continuous improvement of integration and testing processes
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 5 to 8+ years of experience in systems engineering for hardware-based products
- Strong experience with virtualization technologies such as VMware, including vSAN and HCI
- Strong networking knowledge including switches, VLANs, routing, and firewalls
- Experience with storage systems such as Cloudian or Dell, including object storage concepts
- Experience with server hardware platforms and rack-level design considerations
- Strong background in hardware integration, validation, and environmental testing
- Experience defining and managing technical specifications and system interfaces
- Strong documentation, configuration management, and communication skills in English
Nice to haves:
- Experience with edge compute platforms and on-premise deployments
- Familiarity with ruggedized hardware and environmental compliance testing
- Experience with system modeling tools or requirements management systems
- Understanding of ground systems, mission operations, or ISR architectures
- Experience in satellite, earth observation, or defense systems
APPLICATION PROCESS
- Recruiter screening
- Hiring manager interview
- Technical task
- Technical panel interview
- Final interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Colombia; Argentina; Mexico; Honduras; Peru
Job Title:
Talent Acquisition Team Leader
Location:
Remote (Open to all LATAM Countries)
Employment Type:
Contractual
Work Schedule:
8:00 AM – 5:00 PM PT
Reports to:
Talent Acquisition Director
Overview:
We are seeking a highly motivated and detail-oriented Talent Acquisition Team Leader to support our Talent Acquisition Director in overseeing recruitment operations. This role is ideal for someone who is proactive, organized, and possesses strong leadership, communication, and problem-solving skills. The Talent Acquisition Team Lead will play a key role in ensuring team performance, maintaining quality standards, and driving continuous improvement across the recruitment process.
Key Responsibilities:
Support the Talent Acquisition Director in managing the day-to-day operations of the recruitment team
Monitor team performance and ensure KPIs (e.g., time-to-fill, submissions, interview-to-hire ratios) are consistently met
Ensure recruiting processes and best practices are strictly followed across the team
Evaluate interviews conducted by recruiters and provide feedback to improve quality and effectiveness
Conduct regular quality checks on candidate profiles before submission to ensure alignment with role requirements and client expectations
Train, mentor, and onboard Talent Acquisition Specialists to enhance their skills and performance
Identify performance gaps and implement coaching or corrective actions as needed
Collaborate with internal stakeholders to ensure smooth communication and alignment throughout the hiring process
Assist in developing and improving recruitment strategies, workflows, and standards
Maintain high standards of professionalism, accountability, and team morale
Qualifications:
Proven experience in Talent Acquisition, Recruitment, or a similar role, with exposure to team management or leadership responsibilities
Strong understanding of recruiting metrics and performance management
Experience in training, mentoring, or coaching recruiters or Talent Acquisition Specialists
Excellent communication skills (both verbal and written)
Strong attention to detail and ability to assess candidate quality effectively
Highly organized with the ability to manage multiple priorities in a fast-paced environment
Problem-solving mindset with a proactive and positive attitude
Ability to enforce processes while maintaining strong working relationships with the team
What We’re Looking For:
Someone who is smart, resourceful, and takes ownership of their work
A strong team player with a great attitude and a high level of professionalism
A leader who can balance accountability with support and mentorship
A clear and confident communicator who can work effectively across all levels
Someone who’s willing to learn and has a “can-do” attitude.
Budget: $1000-1200/month
Location: Mexico City
Workplace: hybrid
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Customer Success Executive with Financial Services experience, who will be working with the LATAM Market. Responsibilities: Maintain and develop long-term relationships with strategic customers of the Corporate & Enterprise segment across the US region.Act as a trusted advisor of assigned accounts and communicate with them on different levels, including C-level executives.Control and audit delivery processes in implementation projects for Corporate & Enterprise customers, identify early red flags to prevent delivery and launch-related issues.Help customers achieve their desired outcomes, value realization, and high ROI.Grow customers' portfolio through zero churn and active cross and upsells.Maintain a higher than industry average NPS score. Requirements:Minimum 5+ years of B2B account management or project management experience working with Enterprise accounts in the US (Financial Services, specifically Credit Unions or Banks, experience is required).Experience working with CRM, BPM, LC/NC, AI solutions will be a preference.English language skills and executive-level communication.Desire to learn and adapt fast according to a changing market environment.Customer-centric expert with a track record in delivering customer success. What You Should Expect From Us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
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.
.
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 Operator, Global Security Operations Center (GSOC).
About the job
This position is needed to maintain a broad situational awareness over internal and external physical events that could impact employee safety or pose a threat to business assets or operations across Twilio’s global footprint. GSOC Operators monitor a variety of data sources including internal access control systems, external incident aggregators, travel safety applications, and general open source reporting materials. GSOC Operators serve as the primary contact for employees with physical safety and security questions or concerns. When an incident occurs, the GSOC Operator may dispatch security resources, escalate to crisis management teams, send broad communications to Twilio employees, or execute a mass notification to account for employee safety.
Responsibilities:
In this role, you’ll:
Monitoring and Surveillance
Utilize various physical security asset monitoring and surveillance systems to detect potential unauthorized access, suspicious activity, or other security incidents
Monitor open-source threat intelligence and other internal SaaS tools to maintain situational awareness of persistent or emergency global events with potential or direct impact to operations
Security Operations Support
Support access control and visitor management processes
Manage security-related calls for service and provide general guidance to employees, vendors, and guests
Maintain awareness of business travelers and personnel accessing Twilio facilities
Partner with local site security teams to escalate and dispatch resources for incident and alarm response
Review travel requests to elevated risk locations, assist travelers through the approval process, and cross-reference live itineraries with external incidents
Incident Management
Perform the first point of incident intake across a variety of emergencies, including medical emergencies, natural disasters, fire/evacuation, travel disruptions, and security incidents
Assess and triage events and incidents to determine their impact to operations
Dispatch and coordinate response with emergency response personnel
Communicate effectively on emerging incidents to large audiences to share situational awareness or tactical updates as warranted
Maintain real-time incident documentation for reporting and analysis
Perform Life-Safety checks for Twilio in areas impacted by potentially life-threatening conditions
Participate in post-incident reviews to document and implement corrective action and improvements to future response
Operational Excellence
Maintain a strong understanding of security and emergency standard operating procedures
Utilize critical thinking and problem solving skills to analyse situations and implement solutions
Support large projects that will improve Twilio’s GSOC capabilities and initiatives
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:
3+ years of experience in a GSOC working environment
Experience with physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, and mass notification tools
Experience with open-source intelligence (OSINT) research tools
Strong critical thinking and problem-solving skills
Proven ability to follow standard operating procedures and playbooks
Ability to prioritize tasks in a fast-paced environment
Ability to stay calm, professional, and think clearly in high-stress situations
Ability to communicate clearly and concisely; verbal and written
Ability to work ‘non-standard’ shift hours, to overlap as needed with colleagues and stakeholders in other global locations, including weekend and holiday hours
English Language Proficiency
Desired:
Customer service mindset
Comfortable with a high-tech work environment
Eager to learn new tools and processes
Ability to work independently and as part of a team
Proficiency in Google Suite
Additional Language Proficiency
Shift Details:
Variable (8–10-hour shifts)
Must be flexible to work holidays, weekends, and occasional overtime.
Location
This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you participate in project or team in-person meetings to help you connect in a meaningful way.
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. : $26.27 - $32.84
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $27.77 - $34.71
Based in the San Francisco Bay area, California: $30.85 - $38.56
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.
Applications for this role are intended to be accepted until December 21st, 2026, 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
ClinChoice a global CRO is recruiting for a Business Development Director to join our internal commercial team in the U.S. As a Business Development Director, you will focus on driving full clinical operations service growth by securing new clients and expanding services in existing clients to drive revenue growth. You will be responsible for the full sales lifecycle – from prospecting, developing relationship, to closing all deals including complex, high value deals. Previous experience working with a global Contract Research Organization and selling full clinical operations services is required. Experience with developing clients with outsourcing exposure to China is a plus. This is a full-time, permanent opportunity based in the US.
Candidates
based
on
the
West
Coast
are
preferred,
though
applicants
from
other
locations
may
also
be
considered
based
on
their
CRO
experience.
Main Job Tasks and Responsibilities
Sales strategy and execution
: Identify, assess, and develop new global full clinical service strategic plans. Implement realistic and actionable plans to achieve or exceed annual revenue goals that align with the company’s growth objective.
Prospecting:
Actively identify and secure new business opportunities and/or grow/expand services with existing clients.
Relationship Management:
Build and maintain positive relationships and provide regular face time with key decision makers within prospect and client organizations, including their Clinical Operations function, Outsourcing function, Procurement function, and C-Suite executives.
Market Intelligence:
Represent Company at key conferences, trade shows, and networking events to learn and monitor industry trends and competitor activities.
CRM Management:
Maintain all pipeline data promptly from prospecting to closing contracts in company CRM database.
Education, Experience and Skills
10+ years of sales or business development experience, with at least 6 years in global full service CROs.
Established a network of decision-makers in the life-sciences industry.
Experience selling to, presenting to, and building relationships with senior management and C-level stakeholders.
Strong negotiation skills with a proven track record of closing complex, multi-million-dollar business deals
Persuasive and compelling presentation and communication skills, both written and verbal
Ability to understand internal business need, interpret business challenges and present quick and responsive high-level solutions.
Deadline-driven with a proven ability to manage multiple engagements at varying points in the sales cycle.
Bachelor’s degree in Life Science, Biotechnology, or Business Administration; MBA is a plus.
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have 30 years of proven high-quality delivery and results across all our services with over 3,000 professionals in more than 20 countries across US, EU, APAC and ANZ. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare!
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. Continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
Keywords:
Director of Business Development, business development, marketing, contracting, travel, clinical trials, CRO, Clinical Research Organization, clinical development, CRO management, relationship management, clinical research sales, account management, CRO full-service sales, Bid Defense, contract negotiations, business to business sales
#LI-VH1 #LI-Remote #LI-Director #LI-FULLTIME
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design.
WHAT YOU’LL DO
- Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components.
- Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets.
- Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings.
- CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies.
- Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards.
- Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures.
- Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements.
- Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.
WHAT WE'RE LOOKING FOR
- BSME with 5+ years of relevant experience
- Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields.
- Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX.
- Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018).
- Experience transitioning designs from early concepts (NPI, EVT, DVT) to production.
- Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures.
- Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs.
- Creative and collaborative thinking with a team-first mentality.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with a 4% employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: London, England
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!
We are looking for a Strategic Account Executive who will play a critical role driving sales and maximizing expansion opportunities within one of our top accounts within Figma. The account you will be responsible for will be Accenture, targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma.
What you'll do at Figma:
Manage Accenture to consistently meet or exceed quarterly and annual sales targets
Apply effective discovery and value-selling techniques to build and strengthen C-level relationships
Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term
Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities
Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success
Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities
We'd love to hear from you if you have:
Experience selling to or within Accenture - or you have sold to a Big 4 (PWC, KPMG, EY or Deloite) company or sold large enterprise deals
Experience closing sales, over multiple years, for a software or SaaS business with the highest tier of Enterprise customers (5000+ FTEs), selling to executives
Consistent performance meeting pipeline generation targets for net new business
Demonstrated experience successfully managing complex sales cycles (9 months+)
Proficiency in a sales methodology and process that creates value for customers
While it’s not required, it’s an added plus if you also have:
Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams
Demonstrated ability to succeed in a changing environment
Certified in deal qualification and prospect discovery
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.
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: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.
In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!
WHAT YOU’LL DO
- Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.
- Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.
- Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.
- Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.
- Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.
- Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.
- Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.
WHAT WE'RE LOOKING FOR
- 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).
- Experience developing time-sensitive, performance-critical applications.
- Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.
- Experience with Linux build environments like Yocto or Buildroot.
- Experience in building Linux kernels and modifying or writing device drivers.
- Experience with NVIDIA’s Jetson platform is a plus.
- Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.
- Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.
- Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.
- Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: New York City
Workplace: OnSite
ABOUT PEEC AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
ABOUT THE ROLE
We are hiring a Senior Account Executive in New York to own our largest and most complex deals across North America. You will sell to SEO, marketing, and growth leaders at enterprise and agency accounts, run the full cycle from first conversation to close, and set the standard for how the US team sells.
This is a senior seat in a young office. You will work side by side with the founding NYC team, and you will have a real say in how we build the US go-to-market: the playbook, the positioning, and the bar we hold ourselves to. If you want to be the rep others learn the motion from, this is that role.
WHAT YOU'LL DO
- Source and close new business across North America, owning the full cycle from discovery and demo through negotiation and close
- Build your own pipeline into strategic accounts, and partner with SDRs and Marketing on targeted outbound across your patch
- Multi-thread across senior stakeholders and build the business case that gets a new category onto a budget
- Keep your CRM clean and your forecast honest, with a strong handle on deal progress
- Build lasting relationships with your customers and spot expansion opportunities as their AI search programs grow
- Set the bar for the AEs around you: share what works, help shape the playbook, and raise the quality of the whole team's selling
- Feed what you learn on calls back into product, marketing, and the sales playbook. At this stage, your input shapes how we sell.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in a quota-carrying software sales role
- A consistent track record of overachievement against a quota of $1M+, sustained across multiple years rather than one strong run
- Experience closing complex, multi-stakeholder deals end to end, including negotiation and procurement
- A builder of your own pipeline: you can point to closed deals that started with your own prospecting
- Sharp communication and a natural ability to tell the story of a new category simply
- Comfortable being the senior voice in a young team, and willing to set the standard rather than wait for one
BONUS POINTS
- Repeatedly achieving President's Club
- Experience as an early sales hire in a high-growth, venture-backed startup
- Experience selling SEO, analytics, or martech software
- Interest in growing into a team leadership position as the US office scales
- You already know what GEO and AEO stand for.
WHAT WE OFFER
- Transparent comp with a 50/50 base to variable split, plus equity
- Comprehensive benefits package
- Collaborative, high-energy in-office work environment
- Opportunity to make a significant impact and define a new market category
EEOC STATEMENT
Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law.
COMPENSATION
The base salary range for this position is $142,000 to $162,500 annually with anticipated on-target earnings being $284,000-$325,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London.
In this role, you will work on teaching our robots to manipulate the world around them.
This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work).
WHAT YOU’LL DO
- Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment.
- Come up with data preprocessing strategies to improve the quality of collected data.
- Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world.
- Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions.
- Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators.
- Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience.
- Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs.
WHAT WE'RE LOOKING FOR
- 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack.
- Experience with neural network post-training.
- Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code.
- Good familiarity with modern software engineering practices.
- Ability to document experiments clearly and communicate trade‑offs crisply.
Nice to have:
- Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
- Experience applying RL to robotics problems.
- Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Simulation Engineer to join our VLA team based in London.
In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly.
WHAT YOU’LL DO
- Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions.
- Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors.
- Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data.
- Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation.
- Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware.
- Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates.
- Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling.
WHAT WE'RE LOOKING FOR
- 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it.
- Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions.
- Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure.
- Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code.
- Familiarity with modern software engineering practices.
- You document experiments clearly and communicate trade-offs crisply.
Nice to have:
- Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects).
- Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap).
- Experience with NVIDIA Isaac Sim & IsaacLab specifically.
- Experience with domain randomization, system identification, or other sim-to-real transfer techniques.
- Publications at top-tier robotics or RL conferences or equivalent open-source contributions.
- Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote - US
About the Job:
As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily.
This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture.
You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness.
Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call.
Responsibilities:
Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (
CUPED
, Winsorization), power analysis. Ensure statistical correctness across all experiment types.
Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support.
Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests.
Drive the platform roadmap with product, design, and data science. Shape what we build, not just how.
Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams.
Mentor engineers and raise the team's bar for statistical rigor and system design.
Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting.
Qualifications:
10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services.
Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction (
CUPED
), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs.
Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or
RL
-based allocation.
Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar.
Expertise in Go, Python, or similar for backend services and statistical computation.
Experience with event-driven architectures, data pipelines, and large-scale data processing.
Cloud environments (AWS, GCP) with infrastructure-as-code.
Technical leadership: setting direction, breaking down complex problems, influencing across teams.
Ability to translate statistical concepts for product and engineering audiences.
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $214,800 - $295,350*
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$193,400 - $265,870**
Zone 3:
All other US locations -
$182,600 - $251,0202**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Staff Controls Software Engineer to join our Controls team based in London.
We are seeking an experienced Staff Controls Software Engineer to lead the development, integration, and maintenance of our production-grade control software for humanoid robotic systems.
This role sits at the intersection of controls and software engineering - focused on turning advanced control strategies into robust, maintainable, and validated production systems. You’ll be responsible for ensuring that the control stack powering our robots is deterministic, safe, tested, and deployable at scale.
You bring both deep robotics control experience (10 years in robotic system development) and strong software engineering discipline — designing architectures that perform reliably in real-time environments.
WHAT YOU’LL DO
- Design and maintain modular, real-time control architectures supporting locomotion, manipulation, and teleoperation.
- Implement high-performance control loops and middleware interfaces for deterministic, safe operation.
- Industrialize algorithms, ensuring production readiness, maintainability, and performance.
- Establish clear software boundaries and interfaces between motion planning, control, and hardware layers.
- Translate research prototypes into scalable, maintainable, and testable control software.
- Apply modern software development practices (CI/CD, code reviews, testing frameworks, documentation).
- Define reliability, latency, and safety metrics and enforce them throughout the control stack.
- Lead the integration of real-time control software on embedded or Linux-based systems, ensuring consistent behavior across hardware targets.
- Develop automated testing frameworks (simulation, hardware-in-the-loop, regression, and performance testing).
- Drive release and version management of the control stack, ensuring stability across branches and deployments.
- Conduct profiling, benchmarking, and performance validation on robotic hardware.
- Define release protocols to ensure reproducibility and verifiable system behavior.
- Implement software-based fail-safes, watchdogs, and redundancy mechanisms for safety-critical control paths.
- Work closely with hardware and safety teams to ensure fault detection, graceful degradation, and safe state transitions.
- Lead by example through hands-on coding, code reviews, and system-level debugging.
- Mentor engineers on control software best practices, testing methodologies, and performance optimization.
- Contribute to the long-term control software roadmap, guiding architecture evolution and quality standards.
WHAT WE'RE LOOKING FOR
- B.S., M.S., or Ph.D. in Robotics, Control, Computer Engineering, or a related field.
- 10+ years of experience developing robotics control software for real-time systems.
- Proven expertise in C++ (modern standards) and Python for software implementation, testing, and automation.
- Strong background in control theory, robot kinematics & dynamics, and real-time control systems.
- Experience in deploying and validating control software both in simulation and on physical robotic platforms.
- Solid understanding of software architecture, version control (Git), CI/CD pipelines, and automated testing.
- Excellent debugging, profiling, and system performance optimization skills.
- Track record of shipping production-quality robotics software, not research prototypes.
- Proven experience managing software lifecycle, including release management and cross-team integration.
Nice to have:
- Experience with ROS2, real-time Linux, or RTOS environments.
- Familiarity with relevant tools and libraries like Eigen, Pinocchio, Placo, PyTorch, MuJoCo, etc.
- Familiarity with safety-critical systems, redundancy, and failover mechanisms.
- Background in whole-body control, actuator coordination, or real-time trajectory execution.
- Experience in Joint/Cartesian Impedance and force control
- Strong communication and leadership skills, with the ability to influence architecture decisions and engineering culture.
- Experience in learning-based control methods (e.g. RL, imitation learning)
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
seniorGermany, Berlin
ГибридseniorEspoo; Warsaw
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.