Title: Sales Engineer - German Speaker Location: London, England Job Description: At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! Algolia provides the industry’s most powerful search and discovery SaaS platform, driving richer, more powerful engagement and success capabilities to over 17,000 companies. We are seeking passionate and industrious Solutions Engineers ready to join a hyper-growth business and market to help evangelize and drive technical success with our solutions. We are looking for experienced, curious, and driven Solutions Engineers to help customers realize the full value of our platform in a fast-growing market. This role is a critical part of Algolia’s go-to-market organization, working closely with Sales and Solutions partners to drive revenue, customer adoption, and best practices. You will play a key role in helping prospects and customers evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit. You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia’s APIs. You thrive in conversations with engineers, product leaders, and executives, and you know how to translate complex technical concepts into clear business value for diverse audiences. Beyond customer-facing work, you will serve as an advocate for customer needs internally, partnering with Product and Engineering, contributing to technical content, enabling internal teams, and supporting cross-company initiatives that improve how customers succeed with Algolia. Our priorities are guided by a simple question: what will help our customers be more successful with Algolia? YOUR ROLE WILL CONSIST OF: - Work with Sales Teams and prospects on their evaluation and adoption of Algolia solutions - Understand and qualify customer goals with KPIs and effectively articulate Algolia’s ability to meet them - Assist in the Sales process including discovery, demo, Proofs of Concept (POC), RFP responses & business justification - Develop custom search applications leveraging the tools, frameworks, and partners of the Algolia ecosystem. - Distill and advocate customer interests, needs and product feedback in order to relay to Product and Engineering teams - Continuously learn and update skills and keep aware of industry trends in the Search and Discovery space, and contribute to thought leadership to make Algolia more accessible to the world. - Work with the Solution Architects and Customer Success teams on seamless transition to the post sales process to ensure highly successful onboarding YOU MIGHT BE A FIT IF YOU HAVE: - Speak German fluently - Obsessed with Solving Customer Problems - 4+ years experience in a customer-facing technical role (SE, SA, consultant, PM), ideally in the SaaS space - Previous software development experience in one or more of the following areas: - Front End: JavaScript, TypeScript, React, - Back-End: Java, Ruby, Go, Node, Python, Swift/Objective-C - Experience with data formats and data transformation - Great oral and written communication skills - Superior organizational skills working with multiple customers and have the ability to switch context quickly throughout the day with various competing demands and attention to detail - Experience at our current stage and beyond ($150-300M+ ARR range, high growth, lots of change and building internal infrastructure) NICE TO HAVE: - A background in the search industry or e-commerce - Specific knowledge in frameworks Magento, Shopify, Salesforce Commerce Cloud, commercetools and alike - Familiarity with emerging concepts in agentic AI systems (e.g., autonomous reasoning, tool use, or multi-agent orchestration). - Knowledge in Analytics, SEO #LI-Hybrid Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual total cash compensation range (base salary and commission) for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. On-Target Earnings Pay Range £77,500 - £96,750 GBP FLEXIBLE WORKPLACE STRATEGY: Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: - GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. - TRUST - Willingness to trust our co-workers and to take ownership. - CANDOR - Ability to receive and give constructive feedback. - CARE - Genuine care about other team members, our clients and the decisions we make in the company. - HUMILITY - Aptitude for learning from others, putting ego aside. We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.

• Drive new customer and expansion opportunities by articulating Cohesity’s Data Cloud portfolio—backup, recovery, cyber resilience, and data security management capabilities to business and technical audiences. • Provide expert, tailored technical support throughout the sales cycle, including discovery, solution design, demos, and proofs of concept. • Support technical strategy for enterprise opportunities in partnership with the Account Executive, contributing to deal progression and win strategy. • Enable customers to integrate Cohesity products into existing production environments, responding to technical requests in a timely and professional manner. • Lead and support technical engagements such as product demonstrations, workshops, white papers, proposals, and evaluations. • Identify customer requirements and risk areas, helping shape proofs of concept that highlight Cohesity’s value in cyber resilience and data security. • Assist with competitive displacement conversations by understanding customer environments and positioning Cohesity effectively. • Collaborate cross ‑ functionally with Product Management, Engineering, and Support to relay customer feedback and contribute to product improvements. • Provide post ‑ sales technical assistance or project support when needed to ensure successful outcomes and customer satisfaction.

Role Description The Solutions Engineer provides internal and customer process analytics and works with the sales team on customer-facing services and solutions. The Sales Engineer will also assist in the day-to-day pre-construction deliverables and requests. - Work with the sales team to design low-voltage solutions for IES clients. - Identify current and future customer service requirements by establishing personal rapport with potential and actual customers. - Provide product, service, or equipment technical and engineering information by answering questions and requests. - Determine improvements by analyzing cost-benefit ratios of equipment, supplies, or service applications in the customer environment. - Act as liaison between sales, project management, and operations during project installation. - Prepare reports by collecting, analyzing, and summarizing information from site visits/customer meetings to the pre-construction & sales team. - Attend training and review sessions on technical requirements per the Company’s training guidelines. - Attend and complete job turnover meetings as required to cover all details and expectations of the project. - Handle other responsibilities as assigned. Qualifications - Must be self-motivated, positive in approach, professional, and lead others to create, develop, and implement project process improvements. - Must promote the Company culture and mission to all employees, vendors, clients, and business partners. - Must have proven problem-solving skills, critical thinking skills, and the ability to effectively read, write, and give oral presentations. - Must have a proven high skill level to interpret blueprints and other project documents, including specifications, reporting, and quality requirements. - Must be able to travel within branch territory and/or regional territory as needed. - Must be able to learn Company and customer project management systems. - Must be able to manage multiple projects/estimates and present a high level of organization. Requirements - Must have at least a High School diploma or GED equivalency; Bachelor’s Degree preferred. - RCDD certification preferred. - Structured cabling industry experience preferred. - Must have experience in customer interface, such as liaison between the customer and the Company. - Must have a minimum of five (5) years of experience in telecommunications or a related technical or construction field. - Must be proficient with Microsoft Office (Word, Excel, and MS Project). - Must meet Company minimum driving standards. - Must be able to manage multiple tasks/projects simultaneously. Benefits - Min Salary: USD $65,000.00/Yr. - Max Salary: USD $125,000.00/Yr. Company Description IES is a national provider of industrial products and infrastructure services to a variety of end markets, including electrical, mechanical, and communications contracting solutions for the commercial, industrial, residential, and renewable energy markets. IES is publicly traded on NASDAQ under the symbol IESC. As of the end of IES’s 2024 fiscal year ending September 30, 2024, IES produced over $2.8+ billion in revenue and employed over 9,485 employees at over 131 domestic locations across the United States. - IES is an Equal Employment Opportunity Employer: Minorities, Females, Gender Identity, Sexual Orientation, Individuals with Disabilities, Protected Veterans Encouraged to Apply.

Role Description As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems. You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle. What You'll Do - Customer Engagement - Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion. - Translate technical requirements into elegant, scalable storage solutions that exceed expectations. - Act as trusted technical advisor throughout the sales cycle. - Solution Design - Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads. - Design for reliability, resilience, security, and scale—balancing performance with data protection. - Create BOMs, system architectures, and technical proposals for complex RFPs. - Conduct live demos, POCs, and performance benchmarking. - Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks. - Innovation & Growth - Stay current on AI infrastructure and storage technology trends. - Collaborate with Product and Engineering teams using field insights. - Mentor team members and contribute to technical thought leadership. - Shape product direction based on customer needs. Qualifications - Technical Foundation (All Levels) - Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems. - Knowledge of architectural patterns for reliability, resilience, security, and scale. - Understanding of storage and data protocols: S3, POSIX, NFS, SMB. - Familiarity with network protocols: TCP/IP, InfiniBand, RDMA. - Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler). - Aptitude for AI workloads and how storage enables AI innovation. - Ability to communicate technical concepts to both engineers and executives. - Entry Level (0-3 years) - Bachelor's in Computer Science, Engineering, or related field (or equivalent experience). - Exposure to storage/systems through coursework, internships, or projects. - Strong analytical and problem-solving skills. - Customer-facing communication skills. - Experienced (3+ years) - 3-8+ years in pre-sales, solutions architecture, or technical consulting. - Proven track record designing storage/infrastructure solutions. - Hands-on experience with enterprise storage systems. - Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred). - Success managing complex technical sales cycles. What Sets You Apart - Genuine curiosity about AI and its impact across industries. - Ownership mindset—you solve problems until they're solved. - Ability to translate technical complexity into business value. - Thrive in fast-evolving technology environments. - Collaborative team player with integrity and empathy.