Benefits:

• Medical, Dental, and Vision insurance

• 401k (No matching)

• Top-of-market pay (base and equity)

Education Requirements:

• BS in Computer Science

Experience Requirements:

• Minimum 2 Years of Product Management experience

• Product management experience from an early-stage technology startup preferred

• Excited about working hard in a fast-moving startup

• Excellent communication and leadership abilities

Responsibilities:

• Work closely with the CEO on the product roadmap.

• Own product features end-to-end: collaborate with the engineering team and product designer to deliver features of the highest quality and at high velocity.

• Continuously test the product, find bugs, and proactively suggest improvements.

• Partner with sales and end customers to identify gaps in the product and prioritize them with the engineering team.

• Become an expert in competitor offerings, analyze all the reasons we may lose a deal, and improve the product to close the gaps

Benefits:

• Medical, Dental, and Vision insurance

• 401k (No matching)

• Competitive Compensation Package (OTE Salary and Equity)

Experience Requirements:

• At least 2-3 years of experience in B2B technical sales and a quota-carrying role

• Excellent with pricing negotiation and showing the product value to the customer

• Successful track record of net new accounts that are self-sourced

• Hunter ability to creatively generate leads; SDR Experience Preferred

• Proficient with ZoomInfo, Linkedin Sales Navigator, and HubSpot

Other Requirements:

• Proven track record of above target performance

• Ability to thrive in challenging and fast paced environments

Responsibilities:

• Consistently achieve revenue targets and meet performance metrics

• Identify opportunities for growth and generate leads through strategic prospecting

• Full Cycle Sales: Prospect, Maintain, Develop and close net new accounts

• Heavy outreach: cold call and email sequences target ICP accounts; write personalized sequences that convert and get demos

• Become an expert on the Coram AI platform and independently give demos to prospects

Benefits:

• Medical, Dental, and Vision insurance

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of industry experience and having built systems of reasonable scale

• You should be familiar and have experience with the main backend technologies we use, * Knowledge of either Python or Go * Experience with databases Postgres, Redis..

• You should be familiar and have experience with front-end technologies we use (Typescript, React, react-query, build tools, React component libraries)

• It would be great if you also have experience with one or more * Infrastructure-as-code solutions (we use Pulumi over AWS). * Mobile development (we use React-native). * Any experience with platform engineering (C++), or video streaming is a strong bonus but not required.

• High intrinsic motivation to succeed and ability to work hard

Responsibilities:

• Design and implementation of new backend APIs and working with the edge team.

• Implementing user-facing front-end interfaces and working with the product team.

• Ensure the system can scale and have full observability.

• Delivering high-quality features, testing them well, and debugging issues

Benefits:

• Medical, Dental, and Vision insurance

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory.

• Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code.

• Experience with Docker, CI / CD pipelines.

• It would be great if you also have experience with one or more * Edge/IoT computing (we have a fleet of deployed edge computers). * infrastructure management (we use Salt). * monitoring (we use Grafana). * video processing & streaming (we use Gstreamer). * experience interfacing ML models (we use PyTorch).

• High intrinsic motivation to succeed and ability to work hard

Responsibilities:

• Building edge applications processing vision data and communication layers for the compute-constrained edge devices.

• Deploying machine learning models to production.

• Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU.

• Building observability and telemetry

Education Requirements:

• Current BS or MS student or recent graduate. CS major is a plus

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus

• Experience with Elasticsearch/ELK stack a plus

• Contribute with ideas to overall product strategy and roadmap

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Responsibilities:

• Spearhead the company’s growth and operations in the US market

• Develop and execute strategic plans

• Manage client relationships

• Drive business development efforts

• Lead a dynamic team to ensure the successful deployment of AI solutions

Responsibilities:

• Spearhead the company’s growth and operations in the EU market

• Develop and execute strategic plans

• Manage client relationships

• Drive business development efforts

• Lead a dynamic team to ensure the successful deployment of AI solutions

Experience Requirements:

• More than 3 years of experience in marketing, ideally as an early marketing hire at an early-stage startup.

• Proven success in driving growth through innovative marketing strategies.

• Strong understanding of SEO, email marketing, digital marketing, and content creation.

• Experience managing contractors or freelancers to execute marketing plans.

• Proficiency with analytics platforms and marketing automation tools.

Other Requirements:

• Excellent communication and leadership skills with a proactive approach to marketing ownership.

• Experience engaging with influencers and leveraging partnerships to grow brand visibility.

• Ability to thrive in a fast-moving environment where creativity and data-driven decisions go hand in hand.

Responsibilities:

• Growth Marketing: Develop and implement strategies to drive user acquisition, activation, retention, and revenue growth.

• SEO & Content Strategy: Optimize organic traffic through effective SEO practices and compelling content.

• Email Marketing: Build and manage email marketing campaigns to engage and nurture leads, improve retention, and drive conversions.

• Product Marketing: Partner with product teams to craft go-to-market strategies, positioning, messaging, and product launches.

• Social Media & Influencer Engagement: Oversee social media channels to build brand awareness, engage with the community, and manage partnerships with influencers to amplify our reach and visibility.

Experience Requirements:

• 3+ years of experience in marketing.

• A strong understanding of digital marketing principles.

• Experience with social media marketing, email marketing, and content marketing.

• Excellent communication and writing skills.

• Experience marketing AI-powered products is a plus.

Responsibilities:

• Develop and execute marketing campaigns across various channels, including social media, email, and content marketing.

• Manage our social media presence and engage with our audience.

• Create compelling marketing materials, such as website copy, blog posts, and presentations.

• Track and analyze marketing campaign performance.

• Stay up-to-date on the latest marketing trends and technologies.

Education Requirements:

• Bachelor’s degree from an accredited college or university

Experience Requirements:

• 4 years or more leading content for a SaaS or Cybersecurity startup

• Experience targeting cybersecurity and IT buyers at C-level and mid-management level to drive meetings is a must

• Digital marketing experience and technical depth in email, social media (LinkedIn, Twitter), display, and search

• Experience with marketing operations and CRM tools

• Good analytical and reporting skill sets for measuring and educating on demand generation metrics

Other Requirements:

• Startup experience and strong desire to operate and overachieve

• Marketing Automation Management skills are a must. Hubspot, ideally

• Strong communication, presentation, and writing skills

• Project management skills to drive projects with multiple stakeholders, interdependencies and moving deadlines

• Demonstrated track record of delivering results in high growth, innovative and fast-paced environments

• Experience with Webflow, GA4 and analytics

Responsibilities:

• Bachelor’s degree from an accredited college or university

• Experience targeting cybersecurity and IT buyers at C-level and mid-management level to drive meetings is a must

• Digital marketing experience and technical depth in email, social media (LinkedIn, Twitter), display, and search

• Experience with marketing operations and CRM tools

• Good analytical and reporting skill sets for measuring and educating on demand generation metrics

Experience Requirements:

• Self-motivated with “whatever it takes” attitude and demonstrable experience to drive and influence decision making among prospects and customers

• 5+ years in SOC roles, with deep knowledge of SIEM (e.g., Splunk, QRadar), SOAR (e.g., Phantom, Demisto), and other SOC tools.

• Technical Skills: Strong understanding of cybersecurity frameworks, threat intelligence, incident response, and automation tools.

• While direct sales engineering experience is a plus, we value candidates who have engaged with senior management, proposed strategic initiatives, and influenced technology decisions within an enterprise SOC setting.

• Proven success in leading technical engagements, demonstrating complex solutions, and managing POCs with enterprise customers.

Other Requirements:

• You align technical solutions with business objectives

Responsibilities:

• Collaborate with SOC leaders, CISOs, and security teams to understand their challenges and show how Blink’s platform optimizes security operations.

• Lead product demos and POCs tailored to customer needs, showcasing Blink’s integration capabilities with existing SIEM, SOAR, and SOC platforms.

• Use your expertise to address objections from seasoned SOC professionals, demonstrating how Blink enhances their current tools.

• Work with customers to design security automation solutions that meet their needs, informed by your hands-on experience in SOC environments.

• Lead discussions on the role of automation in modernizing SOCs, driving efficiency, and improving threat detection and response.

Experience Requirements:

• 1-2 years of experience as an SDR/BDR in a B2B SaaS company, preferably within the security industry.

• Proven track record of success in a similar BDR or sales role.

• Fluent in English (written and verbal) – Required.

• Proven track record of success in inbound lead qualification and outbound prospecting.

• Understanding of the security landscape, including key challenges and solutions relevant to our target market.

Other Requirements:

• Excellent verbal and written communication skills.

• Strong desire and ability to achieve targets.

• Proven creative problem-solving approach and strong analytical skills.

• Excellent organizational and time management skills, with the ability to prioritize tasks effectively.

• Proficiency in using CRM software (e.g., Salesforce, HubSpot) and sales enablement tools (e.g., MixMax, Outreach, ZoomInfo).

• Self-motivated, results-driven, and eager to learn and grow within a fast-paced environment.

• Comfortable working with the US market and collaborating across global teams.

Responsibilities:

• Respond promptly to inbound inquiries, qualify MQLs against our Ideal Customer Profile (ICP), and book meetings with Account Executives.

• Collaborate with the marketing team to understand lead generation campaigns, monitor lead quality, and provide feedback for improvement.

• Engage with inbound leads through personalized emails, calls, and social media interactions to build relationships and trust.

• Maintain regular follow-ups with prospects to keep them engaged throughout the buyer journey.

• Identify and target potential clients through strategic outbound efforts to support the pipeline.

Experience Requirements:

• At least 3 years of experience in Security/SecOps or DevOps

• At least 4 years of experience in Enterprise CSM or Enterprise Account Management

• At least 4 years of experience working in Startups

• Experience in managing Upselling, renewals, and cross-selling

• Experience working with Technical customers

Other Requirements:

• Must communicate well in English in (writing, talking and presenting)

Responsibilities:

• Manage the onboarding process for new customers, adopting a proactive approach to drive customer satisfaction and enhance their experience.

• Drive customer adoption, loyalty, and expansion by ensuring customers receive maximum value and ROI from our product.

• Implement and improve internal processes for the Customer Success Team, building methodologies to enhance team efficiency and customer management.

• Conduct growth initiatives and Quarterly Business Reviews (QBRs) with customers, presenting value to executives and buyers.

• Maintain customer health by introducing new, valuable features as they become relevant in the customer journey.

Experience Requirements:

• 3+ years of software development experience.

• Proven experience in technical-customer facing related roles.

• Strong knowledge of security best practices and industry standards including SIEM, SOAR, CSPM, public and private cloud architectures and practices.

• Experience with modern cloud infrastructure and security products.

• Strong understanding of networking and application security.

Other Requirements:

• Excellent communication skills

Responsibilities:

• Design and implement security solutions to automate the real-world customer pains.

• Provide expert advice and recommendations for Blink security solutions that can achieve customer objectives.

• Collaborate with the Sales team to establish a reputation for technical excellence and trustworthiness with potential customers.

• Work jointly with other Solutions Engineers & Architects to support the Blink Sales team with technical content and call support.

• Establish and maintain a knowledge hub or repository of security best practices, resources, and insights.

Experience Requirements:

• 7+ years of experience in customer-facing project/program management.

• 3+ years of R&D experience as an Engineer or Program manager is an advantage

• Lead large RPA/IT or Cyber Security projects to success

• 5+ years of experience working with fortune 500 customers.

• Strong organizational and planning skills, with a proven track record of managing complex projects.

Other Requirements:

• Excellent communication, leadership, and interpersonal skills.

• A customer-obsessed approach, with a strong focus on delivering exceptional customer experiences.

• Available to travel up to 25% of the time

Responsibilities:

• Lead project planning, execution, and control with both customers and internal teams.

• Develop and implement project and program management frameworks.

• Coordinate and manage resources across internal teams to ensure the successful execution of projects and activities.

• Ensure the reliability and security of mission-critical systems throughout project lifecycles.

• To ensure customer value and satisfaction

Experience Requirements:

• Strong C++ skills for real-time systems

• Experience building high-rate VR/haptic teleop systems with force feedback for manipulation in real robot environments

• Strong background in API design, designing general purpose code that serves multiple teams

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Responsibilities:

• Own teleop of the Figure robot, including technical roadmap and use cases

• Evaluate different teleop strategies, including motion capture, VR, haptics, and puppeteering

• Design a teleop system for whole body manipulation and dexterous finger control

• Implement real-time retargeting algorithms for robust and intuitive teleop control

• Design scalable solutions that integrate with Autonomy, Controls, and Testing systems at Figure

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

Experience Requirements:

• Track record building and maintaining distributed systems

• Excellent communication skills

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Responsibilities:

• Evaluate Model Performance

• Framework & Tooling Development

• Baseline & Benchmark Creation

• Continuous Evaluation & Monitoring

• Collaboration with Engineering Teams

Experience Requirements:

• Track record of training large scale deep learning models

• Excellent communication skills

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Responsibilities:

• Architect and maintain scalable deep learning frameworks for training on massive robot datasets

• Implement distributed training and parallelization strategies to reduce model development cycles

• Integrate data from various domains (e.g., vision, audio, and sensor inputs) into unified, high throughput deep learning pipelines

• Leverage and contribute to internal tooling for data processing, model experimentation, and continuous integration