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The Role We’re looking for a Senior DevOps Engineer to help scale and operate the infrastructure behind our platform. This is a hands-on individual contributor role focused on cloud infrastructure, automation, and reliability. You’ll partner closely with engineering teams to improve system performance, strengthen security, and enable fast, reliable deployments. What You’ll Do Design and operate scalable AWS infrastructure. Build applications with containerization technologies such as Docker and orchestration tools like Kubernetes. Implement robust monitoring and logging tools (e.g., NewRelic, DataDog, Grafana, etc). Build and manage infrastructure as code using Terraform Improve CI/CD pipelines (Jenkins and GitHub Actions) to accelerate delivery Troubleshoot production issues and lead root cause analysis Build and work in complex SDLC environments Collaborate with engineering teams to streamline development and deployment workflows What You Bring 6–10 years in DevOps, SRE, or infrastructure engineering Strong hands-on experience with AWS in production environments Experience with Kubernetes and containerized systems Proficiency with Terraform (or similar IaC tools) CI/CD experience (GitHub Actions, Jenkins, or equivalent) Scripting skills (Bash, Python, or similar) Solid Linux/Unix fundamentals Why Sureify Build systems that support millions of users Work in a high-growth, engineering-driven SaaS company Remote-first across the Americas Competitive compensation, equity, and flexible PTO Our Guiding Principles Our products are for nothing if their creators are not fulfilled in their work. We want our employees to flourish at Sureify. We do not fawn over status or titles, instead, we honor effort and intelligence. The best idea wins no matter which colleague proposed it. We do not shortcut our mission with overblown claims or false promises. Sticking to the truth is both a strategy and a principle for us. Sureify is an Equal Opportunity Employer committed to div

About Catch Creation Catch Creation is a global eCommerce company built for the digital age. We create, grow, and manage online brands that inspire customers and deliver real value through exceptional products and experiences. Our team thrives in a fully remote environment, combining creativity, data-driven strategy, and innovation to build scalable eCommerce solutions that perform. From concept to conversion, we specialize in developing brands that stand out in competitive markets—driven by a passion for design, storytelling, and customer satisfaction. Every product we launch reflects our commitment to quality, authenticity, and growth. At Catch Creation, we believe great ideas can come from anywhere—and our remote-first culture allows talented people from around the world to collaborate, innovate, and bring those ideas to life. TYPE Fractional / Contract DURATION 6–12 Months LOCATION Remote — USA/Canada HOURS/WEEK 10–20 hrs (flexible) About Catch Creation & Muddy Mat Catch Creation is a global e-commerce company that creates, grows, and manages online brands. Our flagship brand, Muddy Mat, is a 9-figure revenue, bootstrapped, profitable DTC pet products company the #1 selling indoor mat for cleaning dog paws, loved by millions of pet owners across America. We operate across TV, DTC e-commerce, Amazon, TikTok Shop, and expanding retail partnerships with Home Depot, Costco, and Walmart. Our portfolio also includes Cloud K9 (anti-anxiety dog beds) and Wizz (pet stain remover). We are remote-first, lean, and move fast. The Opportunity We are looking for a hands-on, entrepreneurial Fractional CTO to provide senior technology leadership during a critical growth phase. You will work directly with the Founder/CEO and leadership team to own our technology strategy, lead our engineering team, and ensure our platforms can scale with the business. This is not a consulting role where you write recommendations and disappear. We need someone who will emb

Compensation: $60,000-$70,000 + bonus. This role preferred a minimum of two days a week onsite at our Boston, MA office. About the Role The Research Interviewer role, within the New Product Development team, will primarily support qualitative data collection efforts, conducting 10-20 structured interviews with senior security executives per week. This is a research role, not a call-center role, and you will lead interviews following established protocols, and is a key contributor to IANS data collection efforts. Core Responsibilities Interview Coordination & Scheduling (~50% of time) Manage an assigned caseload of cybersecurity executives, lead outreach and recruitment, scheduling, and note-taking review (AI tools will supplement) Use IANS resources (such as account managers) to reach executives on caseload, ensuring outreach is proactive and timely Maintain a master tracker of interviews completed and flag coverage gaps to Director in advance of target deadlines Conducting Interviews & Data Review (~50% of time) Conduct 10-20 (30 or 60-minute structured interviews online via Zoom, Teams) per week Adhere to the established interview protocol, showing judgment for using probing Ask intelligent, probing follow-up questions when responses are vague, surface-level, or inconsistent Record all interviews (with consent) and capture real-time notes during the call to supplement the automated recording and transcription Edit and process verbatim quotes from interview recordings: remove filler words (e.g., “um,”), fix grammar, and ensure quotes are fully coherent and attributable — while preserving the interviewee’s authentic voice Proactively flag data quality issues for Director, and ensure all data is properly tagged for later review and integration into the data stream Requirements: Must-Haves: 5 years of relevant expe

OVERVIEW: The Insights product is an offering for Guidepoint's institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, and AI-facilitated data and content. The teleconferences live in an online library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. hedge fund analysts), sell-side equity research analysts, and industry professionals. This is a hybrid position based in our New York City office. What you'll do: Build and lead a high-caliber research team: Recruit, develop, and manage a group of analysts producing differentiated, investor-grade insights across the technology, media and telecom (TMT) space, with full ownership over research quality, agenda-setting, and output. Own the research strategy and content roadmap: Define what gets covered and why—shaping expert calls, thematic work, and proprietary content aligned with real-time public equity investor demand Drive business growth and AI-enabled innovation: Partner with commercial and product teams to launch new research offerings, leveraging AI to scale insight generation, enhance workflows, and create differentiated products for institutional investor clients. What you have: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Has covered all parts of the global TMT sector (Enterprise Software, Hardware & Semis and Consumer Internet); candidates must be current on company/industry knowledge Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are looking for a highly skilled PSIRT Engineer to lead the vulnerability response program for Replit’s cloud-native AI platform. You will own the lifecycle of security vulnerabilities affecting our products and services—from intake to validation, remediation coordination, and public disclosure. This role requires strong technical ability to reproduce vulnerabilities , deep understanding of web/app/cloud exploit classes, and experience operating bug bounty and coordinated disclosure programs. You will work closely with Engineering, Cloud Security, SecOps, SRE, and IT teams to ensure vulnerabilities are fixed quickly and communicated responsibly. What You’ll Do Vulnerability Intake, Triage & Validation Manage intake from bug bounty platforms (HackerOne preferred), customer reports, automated scanners, pentest reports, and coordinated disclosure channels. Independently validate, reproduce, severity-score, and document findings. Identify duplicates and maintain a clean vulnerability records pipeline. Assess relevance and exploitability using OWASP, cloud misconfiguration patterns, and identity/authentication/authorization risks (Oauth, OIDC). Remediation Coordination & SLA Management Work with Engineering, SecOps, IT, SRE, and Cloud Security to confirm product impact and drive remediation. Provide detailed reproduction steps, proof-of-concepts, and technical analyses. Track SLAs, remediation progress, regression testing, and systemic improvements. Support SOC 2, ISO 27001, and pentest evidence needs as part of vulnerability lifecycle governance. Bug Bounty & Vulnerability Disclosure Program Management Design and evolve the bug bounty program, including scope, rules, and reward structures. Man

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. United States (all figures cited below in USD and pertain to workers in the United States) Zone A: 232,000 - 290,000 Zone B: 217,600 - 272,000 Zone C: 204,800 - 256,000 Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada) 253,000 - 316,000 Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you’ll: Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene

SLSQ427R256 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete asset

Our Director, Enterprise Sales will provide strategy, mentorship, and guidance for a team of Enterprise Sales Executives who are responsible for driving new business through the full sales cycle. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage, hire, train and ramp a team of Enterprise Sales Executives responsible for new and expansion bookings Achieve annual Enterprise bookings quota with monthly and quarterly targets Develop and manage Enterprise Sales Executives on productivity metrics such as deal size, win rate, and forecast accuracy as well as how to lead a customer through a proactive sales cycle Coach Sales Executives through building executive relationships with Named Enterprise accounts in their territories and through complex Enterprise deals and negotiations Shape the direction of the go-to market strategy and execution for your region Work collaboratively with Marketing, Product and Success to build targeted messaging and collateral, and mapping a customer journey for the specific business needs of your region Conduct weekly forecast meetings Support direct reports by participating and leading in client and prospect meetings. Engaging other corporate resources as required Who You Are: Experienced in managing a high performing Enterprise Sales team for a B2B technology company A strong relationship builder with 5+ years of overall Enterprise sales experience working with Fortune 1000 companies Confident in managing complex sales processes with multiple stakeholders and negotiations with pricing based on business value, legal and procurement Knowledgeable in selling to C-level executives in the IT space Experienced in setting quotas and managing people against those quotas Passionate about coaching others w

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. This role is open to people who are currently in a product leadership role or someone in an engineering leadership role that is interested to make the switch into product. This role combines experienced product management leadership with the pivotal responsibilities of a Group Product Lead, offering an opportunity to shape the product strategy and the missions of several teams. You will oversee the product management execution working closely with the product managers for several cross-functional software engineering teams around the world. This position reports to the Head of Product for the Platform Engineering Strategic Business Unit, which is responsible for Appian Cloud offering. An excellent candidate will come with a wide range of experience in a product leadership role in the cloud infrastructure domain at a software-as-a-service firm. The product portfolio owned by this position will cover a wide range of cloud native infrastructure and services – from the highly available, resilient, scalable, and efficient infrastructure components on which all Appian Cloud services operate to the the scalable, enterprise-grade managed services that power the backend data persistence and event streams for customer sites in Appian Cloud. You will provide product management leadership for initiatives that deliver efficient and scalable infrastructure, core compute capacity, and managed data planes as multi-tenant services to accelerate the innovations of Engineering teams throughout the department. Your portfolio will include aspects that intersect with AWS accou

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri